We present a manually curated L2-Heritage Speaker Spanish dataset (N = 49,247) following the Universal Dependencies framework, including lemmatizations, part-of-speech tags, syntactic dependencies, and instances of pro-drop and ungrammatical structures. In addition to this, for dependency parsing we examined different data partitioning strategies and data representations, as well as different training configurations using our data and the AnCora treebank. Overall, the results yield reasonable LAS scores and comparable performance between AnCora and our dataset.