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 mensaje de McCain, senador por Arizona, se ha hecho más agresivo después de la victoria de Bush en Carolina del Sur, y en los escasos tres días que van a separar un proceso de otro, ha querido dejar clara la diferencia que separa a ambos.
Postion	Tokenization
1	El
2	mensaje
3	de
4	McCain
5	,
6	senador
7	por
8	Arizona
9	,
10	se
11	ha
12	hecho
13	más
14	agresivo
15	después
16	de
17	la
18	victoria
19	de
20	Bush
21	en
22	Carolina
23	del
24	Sur
25	,
26	y
27	en
28	los
29	escasos
30	tres
31	días
32	que
33	van
34	a
35	separar
36	un
37	proceso
38	de
39	otro
40	,
41	ha
42	querido
43	dejar
44	clara
45	la
46	diferencia
47	que
48	separa
49	a
50	ambos
51	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	mensaje	NOUN	12	nsubj
3	de	ADP	4	case
4	McCain	PROPN	2	nmod
5	,	PUNCT	6	punct
6	senador	NOUN	4	appos
7	por	ADP	8	case
8	Arizona	PROPN	6	nmod
9	,	PUNCT	6	punct
10	se	PRON	12	expl:pv
11	ha	AUX	12	aux
12	hecho	VERB	0	root
13	más	ADV	14	advmod
14	agresivo	ADJ	12	obj
15	después	ADV	12	advmod
16	de	ADP	18	case
17	la	DET	18	det
18	victoria	NOUN	15	obl
19	de	ADP	20	case
20	Bush	PROPN	18	nmod
21	en	ADP	22	case
22	Carolina	PROPN	18	nmod
23	del	ADP	24	case
24	Sur	PROPN	22	flat
25	,	PUNCT	42	punct
26	y	CCONJ	42	cc
27	en	ADP	31	case
28	los	DET	31	det
29	escasos	DET	28	det
30	tres	NUM	28	nummod
31	días	NOUN	42	obl
32	que	PRON	35	nsubj
33	van	AUX	35	aux
34	a	ADP	35	mark
35	separar	VERB	31	acl
36	un	DET	37	det
37	proceso	NOUN	35	obj
38	de	ADP	39	case
39	otro	PRON	35	obj
40	,	PUNCT	31	punct
41	ha	AUX	42	aux
42	querido	VERB	12	conj
43	dejar	VERB	42	xcomp
44	clara	ADJ	43	obj
45	la	DET	46	det
46	diferencia	NOUN	43	obj
47	que	PRON	48	nsubj
48	separa	VERB	46	acl
49	a	ADP	50	case
50	ambos	NUM	48	obj
51	.	PUNCT	12	punct