how to use udpipe in python

Udpipe is a C library developed by the University of Copenhagen for processing Universal Dependencies (UD) data. To use Udpipe in Python, you'll need to follow these steps:

1. **Install Udpipe**: First, download and install the udpipe library. You can do this using pip if it's available or from source.

   # If Udpipe hasn't been installed globally
   git clone https://github.com/UniversalDependencies/umdpipe.git
   cd udmipe/python
   pip install .

2. **Download a model**: Download a pre-trained UD model for your language. You can find models at [UD website](https://universaldependencies.org/models.html). Save it as `.bin` file.

3. **Load the model**: In Python, create an instance of `udpipe.Model` and load the model with the appropriate language code:

   import udpipe

   model = udpipe.Model('path/to/model.bin', mode=udpipe.ModelMode.PREDICT)

4. **Process text**: For each input sentence, call the `process` method on the model to tokenize, tag, lemmatize, etc.:

   sentence = "Your example sentence here"
   document = model.process(sentence.encode('utf8'))

5. **Access the annotations**: The processed data will be stored in the `document.sentences` attribute. Each sentence has attributes like `words`, `lemmas`, `upos`, `xpos`, etc., where `upos` stands for Universal Part-of-Speech tags.

for sent in document.sentences:
    print(f"Words: {sent.words}, POS Tags: {sent.upos}")