Parallel multiple for loop

I wanted to run a parallel nested for loop. In the docs it shows how you can do a nested for loop into a single outer loop:

for i = 1:2, j = 3:4
  println((i, j))
end

and an example for parallel for loop:

nheads = @parallel (+) for i=1:200000000
  int(rand(Bool))
end

How can I combine these concepts? I tried something along the lines of:

result = @parallel (hcat) for i=1:10,j=1:10
    [i^2,j^2]
end

but I get:

ERROR: syntax: invalid assignment location

Also tried with Iterators package:

julia> result = @parallel (hcat) for p in product(0:0.1:1,0:0.1:1)
         [p[1]^2, p[2]^2]
       end
exception on 1: ERROR: MethodError: `getindex` has no method matching getindex(::Iterators.Product, ::Int64)
Closest candidates are:
  getindex(::(Any...,), ::Int64)
  getindex(::(Any...,), ::Real)
  getindex(::FloatRange{T}, ::Integer)
  ...

 in anonymous at no file:1679
 in anonymous at multi.jl:1528
 in run_work_thunk at multi.jl:603
 in run_work_thunk at multi.jl:612
 in anonymous at task.jl:6
MethodError(getindex,(Iterators.Product(Any[0.0:0.1:1.0,0.0:0.1:1.0]),1))

I am on:

julia> versioninfo()
Julia Version 0.4.0-dev+2684
Commit 8938e3a (2015-01-13 22:01 UTC)
Platform Info:
  System: Linux (x86_64-linux-gnu)
  CPU: Intel(R) Core(TM) i7-4700MQ CPU @ 2.40GHz
  WORD_SIZE: 64
  BLAS: libopenblas (NO_LAPACK NO_LAPACKE DYNAMIC_ARCH NO_AFFINITY Haswell)
  LAPACK: liblapack.so.3
  LIBM: libopenlibm
  LLVM: libLLVM-3.3

Start by reproducing the nested @parallel syntax error and the Iterators.Product getindex error using the examples in the issue on a matching Julia version. Determine whether combined nested iteration is supported, and document or implement a clear working approach whose result matches the requested parallel computation.