diff --git a/lib/mix/tasks/sql.gen.parser.ex b/lib/mix/tasks/sql.gen.parser.ex
index 5cc76cd..d845d4e 100644
--- a/lib/mix/tasks/sql.gen.parser.ex
+++ b/lib/mix/tasks/sql.gen.parser.ex
@@ -156,6 +156,9 @@ defmodule Mix.Tasks.Sql.Gen.Parser do
     def insert_node({:with = tag, meta, []}, [{:ident, _, _} = l, {:parens, _, _} = r, {:as = t2, m2, a}], [], context, root) do
       {[], [], context, root ++ [{tag, meta, [{t2, m2, [[l, r] | a]}]}]}
     end
+    def insert_node({:with = tag, meta, []}, unit, acc, context, root) do
+      {[], [], context, root ++ [{tag, meta, unit ++ acc}]}
+    end
     def insert_node({tag, meta, []}, unit, acc, context, root) when tag in ~w[by in references]a do
       {[{tag, meta, predicate(unit ++ acc)}], [], context, root}
     end
diff --git a/lib/parser.ex b/lib/parser.ex
index 7ae34f5..9b854a3 100644
--- a/lib/parser.ex
+++ b/lib/parser.ex
@@ -126,6 +126,9 @@ defmodule SQL.Parser do
   def insert_node({:with = tag, meta, []}, [{:ident, _, _} = l, {:parens, _, _} = r, {:as = t2, m2, a}], [], context, root) do
     {[], [], context, root ++ [{tag, meta, [{t2, m2, [[l, r] | a]}]}]}
   end
+  def insert_node({:with = tag, meta, []}, unit, acc, context, root) do
+    {[], [], context, root ++ [{tag, meta, unit ++ acc}]}
+  end
   def insert_node({tag, meta, []}, unit, acc, context, root) when tag in ~w[by in references]a do
     {[{tag, meta, predicate(unit ++ acc)}], [], context, root}
   end
diff --git a/test/sql_test.exs b/test/sql_test.exs
index c4f95cc..67c5a95 100644
--- a/test/sql_test.exs
+++ b/test/sql_test.exs
@@ -142,6 +142,72 @@ defmodule SQLTest do
     test "regular" do
       assert "with temp (n, fact) as (select 0, 1 union all select n + 1, (n + 1) * fact from temp where n < 9)" == to_string(~SQL[with temp (n, fact) as (select 0, 1 union all select n+1, (n+1)*fact from temp where n < 9)])
     end
+
+    test "complex with" do
+      sql = ~SQL[
+      with customer_rankings as(
+          select customer_id,
+                sum(amount) as total_spent,
+                rank() over(order by sum(amount) desc) as spending_rank
+          from transactions
+          group by customer_id
+      ),
+      top_customers as(
+          select c.customer_id,
+                c.name,
+                cr.total_spent,
+                cr.spending_rank
+          from customer_rankings cr
+          join customers c on c.customer_id = cr.customer_id
+          where cr.spending_rank <= 10
+      )
+      select tc.name,
+            tc.total_spent,
+            tc.spending_rank
+      from top_customers tc
+      order by tc.spending_rank
+      ]
+
+      output = to_string(sql)
+      assert output == "with customer_rankings as(select customer_id, sum(amount) as total_spent, rank() over(order by sum(amount) desc) as spending_rank from transactions group by customer_id), top_customers as(select c.customer_id, c.name, cr.total_spent, cr.spending_rank from customer_rankings cr join customers c on c.customer_id = cr.customer_id where cr.spending_rank <= 10) select tc.name, tc.total_spent, tc.spending_rank from top_customers tc order by tc.spending_rank"
+    end
+
+    test "complex with multiple ctes" do
+      sql = ~SQL[
+        with customer_rankings as (
+          select
+            customer_id,
+            sum(amount) as total_spent,
+            rank() over (order by sum(amount) desc) as spending_rank
+          from transactions
+          group by customer_id
+        ),
+        top_customers as (
+          select
+            c.customer_id,
+            c.name,
+            cr.total_spent,
+            cr.spending_rank
+          from customer_rankings cr
+          join customers c on c.customer_id = cr.customer_id
+          where cr.spending_rank <= 10
+        )
+        select
+          tc.name,
+          tc.total_spent,
+          tc.spending_rank,
+          case
+            when tc.total_spent > tc.avg_amount * 2 then 'High Value'
+            when tc.total_spent > tc.avg_amount then 'Medium Value'
+            else 'Low Value'
+          end as customer_segment
+        from top_customers tc
+        order by tc.spending_rank, tc.month
+      ]
+
+      output = to_string(sql)
+      assert output == "with customer_rankings as(select customer_id, sum(amount) as total_spent, rank() over(order by sum(amount) desc) as spending_rank from transactions group by customer_id), top_customers as(select c.customer_id, c.name, cr.total_spent, cr.spending_rank from customer_rankings cr join customers c on c.customer_id = cr.customer_id where cr.spending_rank <= 10) select tc.name, tc.total_spent, tc.spending_rank, case when tc.total_spent > tc.avg_amount * 2 then 'High Value' when tc.total_spent > tc.avg_amount then 'Medium Value' else 'Low Value' end as customer_segment from top_customers tc order by tc.spending_rank, tc.month"
+    end
   end
 
   describe "combinations" do