Since MaltParser scores local decisions, this simply amounts to suppressing the creation of SVM training instances for such nodes (U and gelijk in (1)).
where the feature model refers to context information, unattached words provide this information (e.g., the feature vector for volkomen in (1) contains the form and POS of gelijk), but there are no instances indicating how they should be attached themselves.