Add low-level create_dataframe_from_blocks helper function
See my explanation at https://github.com/pandas-dev/pandas/issues/56815/

- [ ] closes #xxxx (Replace xxxx with the GitHub issue number)
- [x] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [x] Added [type annotations](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#type-hints) to new arguments/methods/functions.
- [ ] Added an entry in the latest `doc/source/whatsnew/vX.X.X.rst` file if fixing a bug or adding a new feature.

Not my favorite thing in the world, but better than the status quo so i'm on board. I added some basic roundtrip tests and tests for the corner cases that I am aware of (the numpy arrays instead of EA for datetime/timedelta, and passing 1D EAs for cases that are stored 2D internally). 
(and using this in pyarrow is also passing the test suite there) @jbrockmendel @phofl could I get a more in-depth review (if there are remaining comments)? I would like to get the change to use this included in pyarrow 16, so we don't have to worry about deprecation warnings when merging https://github.com/pandas-dev/pandas/pull/57754 for 3.0 (for the case of using the latest released version of both libraries), but then I need to get this in in the coming days.
 Small reminder here thx @jorisvandenbossche 