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 to mention that i recently separated the father into another cage close to the 'nest cage' because he and the mother were fighting.
Postion	Tokenization
1	I
2	have
3	to
4	mention
5	that
6	i
7	recently
8	separated
9	the
10	father
11	into
12	another
13	cage
14	close
15	to
16	the
17	'
18	nest
19	cage
20	'
21	because
22	he
23	and
24	the
25	mother
26	were
27	fighting
28	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	have	VERB	0	root
3	to	PART	4	mark
4	mention	VERB	2	xcomp
5	that	SCONJ	8	mark
6	i	PRON	8	nsubj
7	recently	ADV	8	advmod
8	separated	VERB	4	ccomp
9	the	DET	10	det
10	father	NOUN	8	obj
11	into	ADP	13	case
12	another	DET	13	det
13	cage	NOUN	8	obl
14	close	ADJ	13	amod
15	to	ADP	19	case
16	the	DET	19	det
17	'	PUNCT	19	punct
18	nest	NOUN	19	compound
19	cage	NOUN	14	obl
20	'	PUNCT	19	punct
21	because	SCONJ	27	mark
22	he	PRON	27	nsubj
23	and	CCONJ	25	cc
24	the	DET	25	det
25	mother	NOUN	22	conj
26	were	AUX	27	aux
27	fighting	VERB	8	advcl
28	.	PUNCT	2	punct