  We present the system submission from the FASTPARSE team for the EUD Shared
Task at IWPT 2020. We engaged with the task by focusing on efficiency. For this
we considered training costs and inference efficiency. Our models are a
combination of distilled neural dependency parsers and a rule-based system that
projects UD trees into EUD graphs. We obtained an average ELAS of 74.04 for our
official submission, ranking 4th overall.
