[SPARK-3654][SQL][WIP] Unifies SQL and HiveQL parsers

This PR is a follow up of #2590, and tries to introduce a top level SQL parser entry point for all SQL dialects supported by Spark SQL.

A top level parser `SparkSQLParser` is introduced to handle the syntaxes that all SQL dialects should recognize (e.g. `CACHE TABLE`, `UNCACHE TABLE` and `SET`, etc.). For all the syntaxes this parser doesn't recognize directly, it fallbacks to a specified function that tries to parse arbitrary input to a `LogicalPlan`. This function is typically another parser combinator like `SqlParser`. DDL syntaxes introduced in #2475 can be moved to here.

The `ExtendedHiveQlParser` now only handle Hive specific extensions.

Also took the chance to refactor/reformat `SqlParser` for better readability.
Although looks trickier, `Option[(String, Option[String])]` captures the syntax and semantics of `SET` command better, and simplifies parsing logic.