This research paper introduces the Part-of-Speech tagging model for the Uzbek language using 16 selected tags. The proposed methodology includes a morphological analysis library for inflectional words by considering highly agglutinative character of the language and supported by a tagged lexicon which contains the words non-inflectional behavior. The tagger tool was evaluated on the annotated dataset to demonstrate the accuracy of the model. Additionally, the publicly available Python library and web/API tools were created.