[Spark] Use encoderFor to copy encoders for DeltaUDF (delta-io#3562)

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#### Which Delta project/connector is this regarding?
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- [X] Spark
- [ ] Standalone
- [ ] Flink
- [ ] Kernel
- [ ] Other (fill in here)

## Description

This Spark commit
apache/spark@67d2888
breaks Spark master compilation (specifically [this
diff](apache/spark@67d2888#diff-7852549cf1376f95414d804c8a9382a236179582cb4f03f836c284b0c1a81191L93-R99)).

## How was this patch tested?

Existing tests suffice.

spark/src/main/scala/org/apache/spark/sql/delta/DeltaUDF.scala

@@ -19,6 +19,7 @@ package org.apache.spark.sql.delta
 import org.apache.spark.sql.delta.sources.DeltaSQLConf
 
 import org.apache.spark.sql.SparkSession
+import org.apache.spark.sql.catalyst.encoders.encoderFor
 import org.apache.spark.sql.expressions.{SparkUserDefinedFunction, UserDefinedFunction}
 import org.apache.spark.sql.functions.udf
 
@@ -81,8 +82,8 @@ object DeltaUDF {
       orElse: => UserDefinedFunction): UserDefinedFunction = {
     if (SparkSession.active.sessionState.conf
       .getConf(DeltaSQLConf.INTERNAL_UDF_OPTIMIZATION_ENABLED)) {
-      val inputEncoders = template.inputEncoders.map(_.map(_.copy()))
-      val outputEncoder = template.outputEncoder.map(_.copy())
+      val inputEncoders = template.inputEncoders.map(_.map(e => encoderFor(e)))
+      val outputEncoder = template.outputEncoder.map(e => encoderFor(e))
       template.copy(f = f, inputEncoders = inputEncoders, outputEncoder = outputEncoder)
     } else {
       orElse