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 presidente del Comité Olímpico Mexicano (COM), Mario Vázquez Raña, afirmó hoy que no tiene motivos para someterse al detector de mentiras al insistir que el mexicano Bernardo Segura le mintió sobre su descalificación en la marcha 20 kilómetros de Sydney`2000.
Postion	Tokenization
1	El
2	presidente
3	del
4	Comité
5	Olímpico
6	Mexicano
7	(
8	COM
9	)
10	,
11	Mario
12	Vázquez
13	Raña
14	,
15	afirmó
16	hoy
17	que
18	no
19	tiene
20	motivos
21	para
22	someterse
23	someter
24	se
25	al
26	detector
27	de
28	mentiras
29	al
30	insistir
31	que
32	el
33	mexicano
34	Bernardo
35	Segura
36	le
37	mintió
38	sobre
39	su
40	descalificación
41	en
42	la
43	marcha
44	20
45	kilómetros
46	de
47	Sydney`2000
48	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	15	nsubj
3	del	ADP	4	case
4	Comité	PROPN	2	nmod
5	Olímpico	PROPN	4	flat
6	Mexicano	PROPN	4	flat
7	(	PUNCT	8	punct
8	COM	PROPN	4	flat
9	)	PUNCT	8	punct
10	,	PUNCT	11	punct
11	Mario	PROPN	2	appos
12	Vázquez	PROPN	11	flat
13	Raña	PROPN	11	flat
14	,	PUNCT	11	punct
15	afirmó	VERB	0	root
16	hoy	ADV	15	advmod
17	que	SCONJ	19	mark
18	no	ADV	19	advmod
19	tiene	VERB	15	ccomp
20	motivos	NOUN	19	obj
21	para	ADP	22	mark
22	someterse	_	None	_
23	someter	VERB	20	acl
24	se	PRON	22	obj
25	al	ADP	25	case
26	detector	NOUN	22	obj
27	de	ADP	27	case
28	mentiras	NOUN	25	nmod
29	al	ADP	29	mark
30	insistir	VERB	19	advcl
31	que	SCONJ	36	mark
32	el	DET	32	det
33	mexicano	NOUN	36	nsubj
34	Bernardo	PROPN	32	appos
35	Segura	PROPN	33	flat
36	le	PRON	36	obj
37	mintió	VERB	29	ccomp
38	sobre	ADP	39	case
39	su	DET	39	det
40	descalificación	NOUN	36	obl
41	en	ADP	42	case
42	la	DET	42	det
43	marcha	NOUN	39	nmod
44	20	NUM	44	nummod
45	kilómetros	NOUN	42	appos
46	de	ADP	46	case
47	Sydney`2000	PROPN	42	nmod
48	.	PUNCT	15	punct