Add an option for more aggressive conversion

**Is your feature request related to a problem? Please describe.**
I have users that are passing in python objects of unknown type and Julia code that expects native Julia objects. When trying to migrate from PyCall to PythonCall, I find the conversions defined here do not convert user provided objects into the most native equivalent Julia type.

**Describe the solution you'd like**
I would like an option to convert an arbitrary Python object to a Julia object with eager semantics. For example,
```julia
julia> eager_pyconvert(Any, pyeval("[1.0, 2.0, 3.0]", Main))
3-element Vector{Float64}:
1.0
2.0
3.0

julia> pyconvert(Any, pyeval("[1.0, 2.0, 3.0]", Main)) # Current (if type is unknown)
3-element PyList{Any}:
1.0
2.0
3.0

julia> pyconvert(Array, pyeval("[1.0, 2.0, 3.0]", Main)) # Current (if type is known)
3-element Vector{Float64}:
1.0
2.0
3.0

julia> py"[1.0, 2.0, 3.0]" # PyCall
3-element Vector{Float64}:
1.0
2.0
3.0
```
By "eager semantics" I mean it will convert to as specific a target type as possible. Or, equivalently, opt out of types defined by PythonCall.jl.

**Describe alternatives you've considered**
Coming up with a "magic type" that can be passed to the existing `pyconvert` function
```julia
types(m) = (x for x in (getglobal(m, n) for n in names(m)) if x isa Type && x !== Any)
BaseTypes = BaseTypes = Union{types(Core)..., types(Base)...}
pyconvert(BaseTypes, pyeval("[1.0, 2.0, 3.0]", Main))
```
Fails because `PyList <: BaseTypes`.

Restricting to concrete types segfaults julia
```julia
types(m) = (x for x in (getglobal(m, n) for n in names(m)) if x isa Type && !isabstracttype(x))
BaseTypes = Union{types(Core)..., types(Base)...}
pyconvert(BaseTypes, pyeval("[1.0, 2.0, 3.0]", Main))
# [68187] signal (11.2): Segmentation fault: 11
# in expression starting at REPL[41]:1
# ...
```

Home rolling conversion rules for specific types feels like reinventing the wheel and hard to maintain.

**Additional context**
Basically, I'd like to opt into the conversion behavior of PyCall.

No files or tests are named. Start by reading the existing pyconvert conversion definitions and the public conversion API, then compare their behavior with the eager examples in the issue. Done means an option or API for eager conversion handles unknown Python objects as native Julia values without requiring caller-defined conversion rules.

Escrita pelo modelo de indexação a partir do texto da issue.