This is a strong assumption when considering that the annotators have to make their decisions based on the same input data.
in practice, dependencies do not usually cause the most probable label to change (Zhang, 2004), hence the performance of classifier combination methods is only slightly degraded, while avoiding the complexity of modelling dependencies between annotators (Kim and Ghahramani, 2012).