Let $p$ and $q$ be two arbritrary probability measures on $[0,1]$. By definition,
$$d_W(p,q) = \inf_{\gamma \in \Gamma_{p,q}} \int |x-y| \, d\gamma(x,y)$$
where $\Gamma_{p,q}$ is the set of Borel measures on $[0,1] \times [0,1]$ with marginals $p$ and $q$. As $p$ and $q$ are probability measures, we have for any $\gamma \in \Gamma_{p,q}$
$$\int_{[0,1]} x \, dp(x) = \int_{[0,1] \times [0,1]} x \, d\gamma(x,y) \quad \text{and} \quad \int_{[0,1]} y \, dq(y) = \int_{[0,1] \times [0,1]} y \, d\gamma(x,y).$$
Hence,
$$\begin{align*} |E_p-E_q| &= \left| \int_{[0,1] \times [0,1]} (x-y) \, d\gamma(x,y) \right|\leq \int_{[0,1] \times [0,1]} |x-y| \, d\gamma(x,y). \end{align*}$$
Since this inequality holds for any $\gamma \in \Gamma_{p,q}$ we can take the infimum over all $\gamma \in \Gamma_{p,q}$ to conclude
$$|E_p-E_q| \leq d_W(p,q).$$