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:
"Volví a preguntarle si no había infringido las reglas de manera que mereciera la descalificación, el señor Segura contestó que estaba cierto de no haberlas violado", precisó el dirigente mexicano.
Postion	Tokenization
1	"
2	Volví
3	a
4	preguntarle
5	preguntar
6	le
7	si
8	no
9	había
10	infringido
11	las
12	reglas
13	de
14	manera
15	que
16	mereciera
17	la
18	descalificación
19	,
20	el
21	señor
22	Segura
23	contestó
24	que
25	estaba
26	cierto
27	de
28	no
29	haberlas
30	haber
31	las
32	violado
33	"
34	,
35	precisó
36	el
37	dirigente
38	mexicano
39	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Volví	VERB	33	xcomp
3	a	ADP	4	mark
4	preguntarle	_	None	_
5	preguntar	VERB	2	xcomp
6	le	PRON	2	obj
7	si	SCONJ	9	mark
8	no	ADV	9	advmod
9	había	AUX	9	aux
10	infringido	VERB	4	ccomp
11	las	DET	11	det
12	reglas	NOUN	9	obj
13	de	ADP	15	mark
14	manera	NOUN	12	fixed
15	que	SCONJ	12	fixed
16	mereciera	VERB	9	advcl
17	la	DET	17	det
18	descalificación	NOUN	15	obj
19	,	PUNCT	19	punct
20	el	DET	21	det
21	señor	NOUN	22	nsubj
22	Segura	PROPN	20	flat
23	contestó	VERB	4	advcl
24	que	SCONJ	25	mark
25	estaba	AUX	25	cop
26	cierto	ADJ	22	ccomp
27	de	ADP	30	mark
28	no	ADV	30	advmod
29	haberlas	_	None	_
30	haber	AUX	30	aux
31	las	PRON	30	obj
32	violado	VERB	25	acl
33	"	PUNCT	2	punct
34	,	PUNCT	2	punct
35	precisó	VERB	0	root
36	el	DET	35	det
37	dirigente	NOUN	33	nsubj
38	mexicano	ADJ	35	amod
39	.	PUNCT	33	punct