[Feature] The paimon table serializationLibrary value does not depend on the paimon jar by default

### Search before asking

- [X] I searched in the [issues](https://github.com/apache/incubator-paimon/issues) and found nothing similar.

### Motivation

If you run describe extended tableName ddl to obtain table metadata for tables created by spark sql, the following exception occurs. Do you not add PaimonSerDe by default? In the enterprise, hadoop is the commercial version (Huawei mrs, CDP), and complex processes are required to modify the jar that hms relies on. It is not recommended to add PaimonSerDe by default. iceberg and hudi do not have this problem.
```
Caused by: java.sql.SQLException: Error while processing statement: FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.DDLTask. java.lang.ClassNotFoundException Class org.apache.paimon.hive.PaimonSerDe not found
```
Hive table properties storage_handler = org.apache.paimon.hive.PaimonStorageHandler might have similar problem

@tsreaper @JingsongLi

hudi serializationLibrary Default value: ParquetHiveSerDe.class.getName()

### Solution

_No response_

### Anything else?

_No response_

### Are you willing to submit a PR?

- [ ] I'm willing to submit a PR!

Start by tracing the Hive path used by `describe extended tableName` and the handling of `serializationLibrary`, `PaimonSerDe`, and `PaimonStorageHandler`. No source file or test is named, and the expected default is not specified beyond avoiding a required Paimon jar; done should include a decided default and regression coverage for Spark SQL-created tables.

Written by the indexing model from the issue text.