not a bug report per se

I'm wondering how spacy/chinese models compares with the stanza project?
Stanza already provides chinese support with many features
https://stanfordnlp.github.io/stanza/models.html

that has a chinese (simplified) model and provides dep-parser, lemma and other basic NLP features.

I'm a bit confused as it uses spacy for tokenization:
https://stanfordnlp.github.io/

Speaks for itself. We really, really need some tests!

In SpaCy one can access the fine-grained UD tags by the tag_ attribute (see documentation). In this model it only repeats the value of pos_.

Is there any chance to get the CoNLL-U style FEATS from the tagged data for Hungarian?