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:
José María Aznar llegó la pasada madrugada a México con la intención de agradecer al presidente Vicente Fox su ayuda antiterrorista y pedirle al tiempo que averigüe si la guerrilla mexicana da cobijo a miembros de ETA.
Postion	Tokenization
1	José
2	María
3	Aznar
4	llegó
5	la
6	pasada
7	madrugada
8	a
9	México
10	con
11	la
12	intención
13	de
14	agradecer
15	al
16	presidente
17	Vicente
18	Fox
19	su
20	ayuda
21	antiterrorista
22	y
23	pedirle
24	pedir
25	le
26	al
27	tiempo
28	que
29	averigüe
30	si
31	la
32	guerrilla
33	mexicana
34	da
35	cobijo
36	a
37	miembros
38	de
39	ETA
40	.
Position	Tokenization	UPOS	Head	Deprel
1	José	PROPN	4	nsubj
2	María	PROPN	1	flat
3	Aznar	PROPN	1	flat
4	llegó	VERB	0	root
5	la	DET	7	det
6	pasada	ADJ	7	amod
7	madrugada	NOUN	4	obl
8	a	ADP	9	case
9	México	PROPN	4	obl
10	con	ADP	12	case
11	la	DET	12	det
12	intención	NOUN	4	obl
13	de	ADP	14	mark
14	agradecer	VERB	12	acl
15	al	ADP	16	case
16	presidente	NOUN	14	obj
17	Vicente	PROPN	16	appos
18	Fox	PROPN	17	flat
19	su	DET	20	det
20	ayuda	NOUN	14	obj
21	antiterrorista	ADJ	20	amod
22	y	CCONJ	23	cc
23	pedirle	_	None	_
24	pedir	VERB	14	conj
25	le	PRON	23	obj
26	al	ADP	28	advmod
27	tiempo	NOUN	25	fixed
28	que	SCONJ	28	mark
29	averigüe	VERB	23	ccomp
30	si	SCONJ	33	mark
31	la	DET	31	det
32	guerrilla	NOUN	33	nsubj
33	mexicana	ADJ	31	amod
34	da	VERB	28	ccomp
35	cobijo	NOUN	33	obj
36	a	ADP	36	case
37	miembros	NOUN	33	obj
38	de	ADP	38	case
39	ETA	PROPN	36	nmod
40	.	PUNCT	4	punct