BUG: fix the value error when using read_csv with "," as decimal point and pd.Float64Dtype()
- [x] closes #52086 
- [x] [Tests added and passed]
- [x] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [ ] Added [type annotations]
- [x] Added an entry in the latest `doc/source/whatsnew/vX.X.X.rst` file if fixing a bug or adding a new feature.

This is my first contribution so I'm still trying to find my feet. 
The current problem is after this function passes the array containing strings to _from_sequence_of_strings(), we lose track of what decimal point we should use. As a result, a latter function floatify() cannot parse the string correctly since they are trying to parse the string with ".". Is it ok if I add additional parameters to all the following functions to indicate this decimal point? Or is that inefficient too? This needs restructuring of the casting logic. This is non-trivial.  Thanks for the pull request, but it appears to have gone stale. If interested in continuing, please merge in the main branch, address any review comments and/or failing tests, and we can reopen.