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:
Para compensar las pérdidas ante sus depredadores, los titíes generalmente traen al mundo gemelos (al ser primates de doble mama no pueden permitirse camadas más grandes).
Postion	Tokenization
1	Para
2	compensar
3	las
4	pérdidas
5	ante
6	sus
7	depredadores
8	,
9	los
10	titíes
11	generalmente
12	traen
13	al
14	mundo
15	gemelos
16	(
17	al
18	ser
19	primates
20	de
21	doble
22	mama
23	no
24	pueden
25	permitirse
26	permitir
27	se
28	camadas
29	más
30	grandes
31	)
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Para	ADP	2	mark
2	compensar	VERB	12	advcl
3	las	DET	4	det
4	pérdidas	NOUN	2	obj
5	ante	ADP	7	case
6	sus	DET	7	det
7	depredadores	NOUN	4	nmod
8	,	PUNCT	2	punct
9	los	DET	10	det
10	titíes	NOUN	12	nsubj
11	generalmente	ADV	12	advmod
12	traen	VERB	0	root
13	al	ADP	14	case
14	mundo	NOUN	12	obl
15	gemelos	NOUN	12	obj
16	(	PUNCT	25	punct
17	al	ADP	19	mark
18	ser	AUX	19	cop
19	primates	NOUN	25	advcl
20	de	ADP	22	case
21	doble	ADJ	22	amod
22	mama	NOUN	19	nmod
23	no	ADV	25	advmod
24	pueden	AUX	25	aux
25	permitirse	_	None	_
26	permitir	VERB	12	parataxis
27	se	PRON	25	iobj
28	camadas	NOUN	25	obj
29	más	ADV	29	advmod
30	grandes	ADJ	27	amod
31	)	PUNCT	25	punct
32	.	PUNCT	12	punct