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:
Pese a que los agentes de seguridad intentaron proteger al gobernador, algunos manifestantes lograron llegar hasta él y tras agarrarlo por las ropas le increparon por no conceder el aumento de sueldo exigido.
Postion	Tokenization
1	Pese
2	a
3	que
4	los
5	agentes
6	de
7	seguridad
8	intentaron
9	proteger
10	al
11	gobernador
12	,
13	algunos
14	manifestantes
15	lograron
16	llegar
17	hasta
18	él
19	y
20	tras
21	agarrarlo
22	agarrar
23	lo
24	por
25	las
26	ropas
27	le
28	increparon
29	por
30	no
31	conceder
32	el
33	aumento
34	de
35	sueldo
36	exigido
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Pese	NOUN	8	mark
2	a	ADP	1	fixed
3	que	SCONJ	1	fixed
4	los	DET	5	det
5	agentes	NOUN	8	nsubj
6	de	ADP	7	case
7	seguridad	NOUN	5	nmod
8	intentaron	VERB	15	advcl
9	proteger	VERB	8	xcomp
10	al	ADP	11	case
11	gobernador	NOUN	9	obj
12	,	PUNCT	8	punct
13	algunos	DET	14	det
14	manifestantes	NOUN	15	nsubj
15	lograron	VERB	0	root
16	llegar	VERB	15	xcomp
17	hasta	ADP	18	case
18	él	PRON	16	obl
19	y	CCONJ	27	cc
20	tras	ADP	21	mark
21	agarrarlo	_	None	_
22	agarrar	VERB	27	advcl
23	lo	PRON	21	obj
24	por	ADP	25	case
25	las	DET	25	det
26	ropas	NOUN	21	obl
27	le	PRON	27	obj
28	increparon	VERB	15	conj
29	por	ADP	30	mark
30	no	ADV	30	advmod
31	conceder	VERB	27	advcl
32	el	DET	32	det
33	aumento	NOUN	30	obj
34	de	ADP	34	case
35	sueldo	NOUN	32	nmod
36	exigido	ADJ	32	amod
37	.	PUNCT	15	punct