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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def get_covariance_table(self, chain=0, parameters=None, caption="Parameter Covariance", label="tab:parameter_covariance"):
 """ Gets a LaTeX table of parameter covariance. Parameters chain : int|str, optional The chain index or name. Defaults to first chain. parameters : list[str], optional The list of parameters to compute correlations. Defaults to all parameters for the given chain. caption : str, optional The LaTeX table caption. label : str, optional The LaTeX table label. Returns ------- str The LaTeX table ready to go! """

        parameters, cov = self.get_covariance(chain=chain, parameters=parameters)
        return self._get_2d_latex_table(parameters, cov, caption, label)