[SPARK-50693][CONNECT] The inputs for TypedScalaUdf should be analyzed

[ueshin]

What changes were proposed in this pull request?

Fixes SparkConnectPlanner to analyze the inputs for TypedScalaUdf.

Why are the changes needed?

The inputs for TypedScalaUdf should be analyzed.

For example:

val df = Seq(("a", 10), ("a", 20), ("b", 1), ("b", 2), ("c", 1)).toDF("c1", "c2")
df.select("*").filter(r => r.getInt(1) > 5)

fails with:

org.apache.spark.SparkException: [INTERNAL_ERROR] Invalid call to toAttribute on unresolved object SQLSTATE: XX000
  at org.apache.spark.sql.catalyst.analysis.Star.toAttribute(unresolved.scala:438)
  at org.apache.spark.sql.catalyst.plans.logical.Project.$anonfun$output$1(basicLogicalOperators.scala:74)
  at scala.collection.immutable.List.map(List.scala:247)
  at scala.collection.immutable.List.map(List.scala:79)
  at org.apache.spark.sql.catalyst.plans.logical.Project.output(basicLogicalOperators.scala:74)
  at org.apache.spark.sql.connect.planner.SparkConnectPlanner.transformTypedFilter(SparkConnectPlanner.scala:1460)
  at org.apache.spark.sql.connect.planner.SparkConnectPlanner.transformFilter(SparkConnectPlanner.scala:1437)
...

Does this PR introduce any user-facing change?

The failure will not appear.

How was this patch tested?

Added the related tests.

Was this patch authored or co-authored using generative AI tooling?

No.