I want to evaluate the following probability
$$\text{Pr}\left\{\frac{Y_1}{X_1}+\frac{Y_2}{X_2}\leq z\right\}$$
where the support of all random variables is $[0,\,\infty)$, but $Y_1\leq Y_2$, i.e., they are dependent random variables, but mutually independent from $X_1$ and $X_2$ (i.e., $X_1$ and $X_2$ are independent from $Y_1$ and $Y_2$). Also, $X_1$ and $X_2$ are independent and identically distributed (i.i.d.) random variables (RVs).
If $Y_1$ and $Y_2$ are i.i.d. RVs, then it is easy to find the above probability as
$$\int_{z_1=0}^{\infty}F_Z(z-z_1)f_Z(z_1)\,dz_1$$
where $Z_k=Y_k/X_k$ for $k=1,\,2$. and $F_Z(z)$ and $f_Z(z)$ are the CDF and PDF of the random variables $\{Z_k\}_{k=1}^2$.
But if $Y_1$ and $Y_2$ are dependent, how can I find the above probability?