As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
    - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
    - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	big	ADJ	3	amod
3	dog	NOUN	4	nsubj
4	chased	VERB	0	ROOT
5	the	DET	6	det
6	cat	NOUN	4	obj
7	.	PUNCT	4	punct
Generate UD annotations for the following tokenized text:
i have a Mature male and female they are together a lot but never laid eggs as far as i know can anyone help me figure out how to make them mate
Postion	Tokenization
1	i
2	have
3	a
4	Mature
5	male
6	and
7	female
8	they
9	are
10	together
11	a
12	lot
13	but
14	never
15	laid
16	eggs
17	as
18	far
19	as
20	i
21	know
22	can
23	anyone
24	help
25	me
26	figure
27	out
28	how
29	to
30	make
31	them
32	mate
Position	Tokenization	UPOS	Head	Deprel
1	i	PRON	2	nsubj
2	have	VERB	0	root
3	a	DET	5	det
4	Mature	ADJ	5	amod
5	male	NOUN	2	obj
6	and	CCONJ	7	cc
7	female	NOUN	5	conj
8	they	PRON	12	nsubj
9	are	AUX	10	cop
10	together	ADV	2	parataxis
11	a	DET	12	det
12	lot	NOUN	10	obl:npmod
13	but	CCONJ	15	cc
14	never	ADV	15	advmod
15	laid	VERB	12	conj
16	eggs	NOUN	15	obj
17	as	ADV	18	advmod
18	far	ADV	15	advmod
19	as	SCONJ	21	mark
20	i	PRON	21	nsubj
21	know	VERB	18	advcl
22	can	AUX	24	aux
23	anyone	PRON	24	nsubj
24	help	VERB	2	parataxis
25	me	PRON	24	obj
26	figure	VERB	24	xcomp
27	out	ADP	26	compound:prt
28	how	SCONJ	30	mark
29	to	PART	30	mark
30	make	VERB	26	ccomp
31	them	PRON	30	obj
32	mate	VERB	30	xcomp