[SPARK-3645][SQL] Makes table caching eager by default and adds syntax for lazy caching

Although lazy caching for in-memory table seems consistent with the `RDD.cache()` API, it's relatively confusing for users who mainly work with SQL and not familiar with Spark internals. The `CACHE TABLE t; SELECT COUNT(*) FROM t;` pattern is also commonly seen just to ensure predictable performance.

This PR makes both the `CACHE TABLE t [AS SELECT ...]` statement and the `SQLContext.cacheTable()` API eager by default, and adds a new `LAZY CACHE TABLE t [AS SELECT ...]` syntax to provide lazy in-memory table caching.

Also, took the chance to make some refactoring: `CacheCommand` and `CacheTableAsSelectCommand` are now merged and renamed to `CacheTableCommand` since the former is strictly a special case of the latter. A new `UncacheTableCommand` is added for the `UNCACHE TABLE t` statement.
This is kind of a nit, but I talked to @aarondav and we are thinking that `CACHE TABLE LAZY` might be a little more consistent.  The reasoning being that `CACHE` is really the most important verb here and so should go first.  This is similar to `INSERT INTO TABLE` vs `INSERT OVERWRITE TABLE`.