I fear you are trying to achieve an unreasonable goal. If you have missing data in response, I don’t think you can do better than to not use those rows for fitting and “impute” the responses afterwards via model predictions. See Imputing missing responses in multivariate ordinal data for a discussion of this. Feel free to ask for clarifications here,if the thread is hard to follow.
Best of luck with your model!