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:
yea i guess but rabbits a easily escape a pen or another rabbit could get in there and that rabbit could be the opposite gender.
Postion	Tokenization
1	yea
2	i
3	guess
4	but
5	rabbits
6	a
7	easily
8	escape
9	a
10	pen
11	or
12	another
13	rabbit
14	could
15	get
16	in
17	there
18	and
19	that
20	rabbit
21	could
22	be
23	the
24	opposite
25	gender
26	.
Position	Tokenization	UPOS	Head	Deprel
1	yea	INTJ	3	discourse
2	i	PRON	3	nsubj
3	guess	VERB	0	root
4	but	CCONJ	8	cc
5	rabbits	NOUN	8	nsubj
6	a	AUX	8	aux
7	easily	ADV	8	advmod
8	escape	VERB	3	conj
9	a	DET	10	det
10	pen	NOUN	8	obj
11	or	CCONJ	15	cc
12	another	DET	13	det
13	rabbit	NOUN	15	nsubj
14	could	AUX	15	aux
15	get	VERB	8	conj
16	in	ADP	17	case
17	there	ADV	15	obl
18	and	CCONJ	25	cc
19	that	DET	20	det
20	rabbit	NOUN	25	nsubj
21	could	AUX	25	aux
22	be	AUX	25	cop
23	the	DET	25	det
24	opposite	ADJ	25	amod
25	gender	NOUN	8	conj
26	.	PUNCT	3	punct