As few studies on Laos, there has not built relatively large dependency Treebank. Compared with the rich and mature Chinese corpus, the syntactic analysis of Laos is more difficult and still a urgently controversial issue. The existing machine learning methods need a lot of training corpus, these methods are not fully applicable to Laos and the accuracy of Laos processing results is also low. This paper presents an approach of Chinese-Laos bilingual corpus of word alignment to built Laos Dependency Treebank method. Firstly, the aligned word processing was made by Chinese-Laos sentence pairs. Secondly, the dependency parsing was done with Chinese sentences. Finally, Laos Dependency Parsing Treebank was generated by Chinese-Laos Languages align relationship and Chinese Dependency Tree. The results show that the accuracy of this method has been improved significantly compared with machine learning methods. This approach not only simplifies the process of manual collection and annotation of Laos Treebank, but saves the manpower and time in building the Treebank as well. In the case of the scarcity of Laos corpus, this approach can automatically build the Laos Dependency Treebank with high quality.