PySpark: add a row from one dataframe as a column with constant value to another dataframe

I have two Spark dataframes:

>df1
+---------------+
|         values|
+---------------+
|[a, b, c, d, ..|
+---------------+

>df2
+---+---------+
| id|   number|
+---+---------+
|  1|    34523|
|  2|    56438|
|  5|    90342|
+---+---------+

How can I add column values from df1 as constant value to each row in df2?
Expected output:

+---+---------+---------------+
| id|   number|         values|
+---+---------+---------------+
|  1|    34523|[a, b, c, d, ..|
|  2|    56438|[a, b, c, d, ..|
|  5|    90342|[a, b, c, d, ..|
+---+---------+---------------+