jags bayesian linear regression, how can i set priors when the priors are dependent each other?

Question

library(rjags)
jags_code = "model{
for (i in 1:n){
Y[i] ~ dnorm(mu[i], tau)
mu[i] <- beta0 + beta1*x[i]}

beta0 ~ dnorm(0,0.001)
beta1 ~ dnorm(0,0.001)
eta &