DEP: Depcrated utm_crs

[Zeroto521]

• closes #xxxx
• whatsnew entry

pyproj.database.query_utm_crs_info too slow to query all data.
For 1 point will cost 200ms but for 2000 points will cost 200s.
Even try parallelize to utm_crs, but the speed is still so lower.

[codecov]

Codecov Report

Merging #637 (bb89de8) into main (d94df6c) will decrease coverage by 0.16%.
The diff coverage is 100.00%.

@@            Coverage Diff             @@
##             main     #637      +/-   ##
==========================================
- Coverage   99.48%   99.31%   -0.17%     
==========================================
  Files         101      101              
  Lines        1172     1174       +2     
  Branches      110      110              
==========================================
  Hits         1166     1166              
- Misses          2        3       +1     
- Partials        4        5       +1     

Impacted Files	Coverage Δ
dtoolkit/geoaccessor/geoseries/utm_crs.py	100.00% <100.00%> (ø)
dtoolkit/transformer/sklearn/OneHotEncoder.py	92.30% <0.00%> (-7.70%)	⬇️

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