如何在西班牙语中使用Stanford NLP词性标记？

import edu.stanford.nlp.pipeline.*;
import edu.stanford.nlp.ling.*;
import java.util.*;

public class StanfordPOSTaggerExample {
    public static void main(String[] args) {
        // 设置Stanford NLP工具包的路径
        String stanfordNLPPath = "/path/to/stanford-nlp/";

        // 创建Stanford NLP管道
        Properties props = new Properties();
        props.setProperty("annotators", "tokenize, ssplit, pos");
        props.setProperty("pos.model", stanfordNLPPath + "models/pos-tagger/spanish/spanish-distsim.tagger");
        StanfordCoreNLP pipeline = new StanfordCoreNLP(props);

        // 加载要标记的文本
        String text = "Esto es una prueba de etiquetado de palabras en español.";

        // 创建一个Annotation对象
        Annotation document = new Annotation(text);

        // 运行Stanford NLP管道
        pipeline.annotate(document);

        // 获取标记结果
        List<CoreLabel> tokens = document.get(CoreAnnotations.TokensAnnotation.class);
        for (CoreLabel token : tokens) {
            String word = token.get(CoreAnnotations.TextAnnotation.class);
            String pos = token.get(CoreAnnotations.PartOfSpeechAnnotation.class);
            System.out.println("Word: " + word + ", POS: " + pos);
        }
    }
}