In this study, we consider a stochastic optimal control problem whose state variables are described by the system of forward and backward stochastic differential equations with a general cost functional which relies on the global terminal condition. In the framework of Frechet derivatives, we derive the corresponding maximum principle via constructing a series of adjoint equations which need to be solved step by step.