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:
En cuanto a la entrevista entre el copresidente del BBVA, Francisco González, y el presidente del Gobierno, José María Aznar, el también vicepresidente segundo del Gobierno afirmó que es "personal y lógica".
Postion	Tokenization
1	En
2	cuanto
3	a
4	la
5	entrevista
6	entre
7	el
8	copresidente
9	del
10	BBVA
11	,
12	Francisco
13	González
14	,
15	y
16	el
17	presidente
18	del
19	Gobierno
20	,
21	José
22	María
23	Aznar
24	,
25	el
26	también
27	vicepresidente
28	segundo
29	del
30	Gobierno
31	afirmó
32	que
33	es
34	"
35	personal
36	y
37	lógica
38	"
39	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	5	case
2	cuanto	NOUN	1	fixed
3	a	ADP	1	fixed
4	la	DET	5	det
5	entrevista	NOUN	31	obl
6	entre	ADP	8	case
7	el	DET	8	det
8	copresidente	NOUN	5	nmod
9	del	ADP	10	case
10	BBVA	PROPN	8	nmod
11	,	PUNCT	12	punct
12	Francisco	PROPN	8	appos
13	González	PROPN	12	flat
14	,	PUNCT	12	punct
15	y	CCONJ	17	cc
16	el	DET	17	det
17	presidente	NOUN	8	conj
18	del	ADP	19	case
19	Gobierno	PROPN	17	nmod
20	,	PUNCT	21	punct
21	José	PROPN	17	appos
22	María	PROPN	21	flat
23	Aznar	PROPN	21	flat
24	,	PUNCT	5	punct
25	el	DET	27	det
26	también	ADV	27	advmod
27	vicepresidente	NOUN	31	nsubj
28	segundo	ADJ	27	amod
29	del	ADP	30	case
30	Gobierno	PROPN	27	nmod
31	afirmó	VERB	0	root
32	que	SCONJ	35	mark
33	es	AUX	35	cop
34	"	PUNCT	35	punct
35	personal	ADJ	31	ccomp
36	y	CCONJ	37	cc
37	lógica	ADJ	35	conj
38	"	PUNCT	35	punct
39	.	PUNCT	31	punct