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:
El gobernador, que se caracteriza por su fuerte temperamento, respondió a las agresiones con gritos y empujones, mientras sus guardaespaldas trataban penosamente de conducirlo hacia su automóvil oficial.
Postion	Tokenization
1	El
2	gobernador
3	,
4	que
5	se
6	caracteriza
7	por
8	su
9	fuerte
10	temperamento
11	,
12	respondió
13	a
14	las
15	agresiones
16	con
17	gritos
18	y
19	empujones
20	,
21	mientras
22	sus
23	guardaespaldas
24	trataban
25	penosamente
26	de
27	conducirlo
28	conducir
29	lo
30	hacia
31	su
32	automóvil
33	oficial
34	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	gobernador	NOUN	12	nsubj
3	,	PUNCT	6	punct
4	que	PRON	6	nsubj
5	se	PRON	6	expl:pv
6	caracteriza	VERB	2	acl
7	por	ADP	10	case
8	su	DET	10	det
9	fuerte	ADJ	10	amod
10	temperamento	NOUN	6	obj
11	,	PUNCT	6	punct
12	respondió	VERB	0	root
13	a	ADP	15	case
14	las	DET	15	det
15	agresiones	NOUN	12	obj
16	con	ADP	17	case
17	gritos	NOUN	12	obl
18	y	CCONJ	19	cc
19	empujones	NOUN	17	conj
20	,	PUNCT	24	punct
21	mientras	SCONJ	24	mark
22	sus	DET	23	det
23	guardaespaldas	NOUN	24	nsubj
24	trataban	VERB	12	advcl
25	penosamente	ADV	24	advmod
26	de	ADP	27	mark
27	conducirlo	_	None	_
28	conducir	VERB	24	xcomp
29	lo	PRON	27	obj
30	hacia	ADP	31	case
31	su	DET	31	det
32	automóvil	NOUN	27	obl
33	oficial	ADJ	31	amod
34	.	PUNCT	12	punct