Native divide-by-zero in a dispatched ScalaUDF surfaces CometNativeException instead of SparkArithmeticException

When a `ScalaUDF` dispatched into the native plan (#4514) participates in an expression that raises a divide-by-zero under ANSI mode (e.g. `1/udf(a)`), the error surfaces as `org.apache.comet.CometNativeException` ("DivideByZero") instead of the Spark `org.apache.spark.SparkArithmeticException` with error class `DIVIDE_BY_ZERO`. DataFusion wraps the typed error so the JNI bridge cannot downcast it back to the matching Spark exception.

This is observable in Spark's `SQLQueryTestSuite` golden test `udf/postgreSQL/udf-select_having.sql` (query `SELECT 1 AS one FROM test_having WHERE 1/udf(a) = 1 HAVING 1 < 2`). Same error category, different surface.

Follow-on from #4514. We should preserve the typed Spark exception (exception class plus error class) end to end so native evaluation matches Spark's ANSI error behavior.