[LibUV_jll] Update to new build

[giordano]

Corresponding PR to Yggdrasil: JuliaPackaging/Yggdrasil#9337.

This build includes backports of libuv/libuv#4278 (useful for for #46226) and libuv/libuv#4521 (useful for #55592)

[giordano]

I downloaded the x86_64-linux-gnu build of this PR in a Docker container I started with

docker run --cpus=12 -ti --rm ubuntu

and I get

julia> @ccall uv_available_parallelism()::Cint
12

julia> @ccall jl_effective_threads()::Cint
32

julia> Sys.CPU_THREADS
32

uv_available_parallelism respects the cgroups settings inside the Docker container, as expected. This PR, together with #55592, will finally fix #46226

[giordano]

The only negative news is that the more accurate uv_available_parallelism (which is currently unused in Julia) on Linux comes at a largish performance cost:

# on e22e4de5de7
julia> @benchmark @ccall uv_available_parallelism()::Cint
BenchmarkTools.Trial: 10000 samples with 196 evaluations.
 Range (min … max):  476.561 ns … 715.587 ns  ┊ GC (min … max): 0.00% … 0.00%
 Time  (median):     487.857 ns               ┊ GC (median):    0.00%
 Time  (mean ± σ):   489.036 ns ±   7.979 ns  ┊ GC (mean ± σ):  0.00% ± 0.00%

           ▁▃█▅▆▆▄▅▃
  ▁▂▂▂▂▆▅▄▆█████████▅▄▇▃▂▂▂▁▁▂▂▁▂▂▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ ▃
  477 ns           Histogram: frequency by time          527 ns <

 Memory estimate: 0 bytes, allocs estimate: 0.

# On this PR
julia> @benchmark @ccall uv_available_parallelism()::Cint
BenchmarkTools.Trial: 10000 samples with 1 evaluation.
 Range (min … max):  9.608 μs … 516.103 μs  ┊ GC (min … max): 0.00% … 0.00%
 Time  (median):     9.719 μs               ┊ GC (median):    0.00%
 Time  (mean ± σ):   9.974 μs ±   7.294 μs  ┊ GC (mean ± σ):  0.00% ± 0.00%

  ▁▄█▇▇▅▄▂▂▂▁                                                 ▁
  ████████████▇██▅▆▆▇▇▆▆▅▅▂▅▄▂▄▅▇▇██▆▇▄▄▆▄▄▆▅▅▆▇▆▇▅▅▄▃▅▄▅▃▂▄▃ █
  9.61 μs      Histogram: log(frequency) by time      11.6 μs <

 Memory estimate: 0 bytes, allocs estimate: 0.

[giordano]

I'm going to merge this PR: there are no functional changes on the Julia side, it's only updating the version of libuv to include two backported upstream commits.