A team is implementing a parallel processing strategy for a transformer's attention mechanism to handle a very long input sequence. They partition the sequence into four segments and distribute them across four GPUs. On each GPU, they compute a local attention score using only the Query, Key, and Value components corresponding to that GPU's segment. Analyze this implementation. What is the fundamental flaw in this approach, and how does it prevent the correct calculation of the global attention output?