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:
Aznar destacó que los españoles tienen "un Rey entregado en su tarea, apasionado por su tarea y con una extraordinaria sensibilidad por todas las cosas que pasan en el país".
Postion	Tokenization
1	Aznar
2	destacó
3	que
4	los
5	españoles
6	tienen
7	"
8	un
9	Rey
10	entregado
11	en
12	su
13	tarea
14	,
15	apasionado
16	por
17	su
18	tarea
19	y
20	con
21	una
22	extraordinaria
23	sensibilidad
24	por
25	todas
26	las
27	cosas
28	que
29	pasan
30	en
31	el
32	país
33	"
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Aznar	PROPN	2	nsubj
2	destacó	VERB	0	root
3	que	SCONJ	6	mark
4	los	DET	5	det
5	españoles	NOUN	6	nsubj
6	tienen	VERB	2	ccomp
7	"	PUNCT	6	punct
8	un	DET	9	det
9	Rey	PROPN	6	obj
10	entregado	ADJ	9	amod
11	en	ADP	13	case
12	su	DET	13	det
13	tarea	NOUN	10	obl
14	,	PUNCT	15	punct
15	apasionado	ADJ	10	advmod
16	por	ADP	18	case
17	su	DET	18	det
18	tarea	NOUN	15	obl
19	y	CCONJ	23	cc
20	con	ADP	23	case
21	una	DET	23	det
22	extraordinaria	ADJ	23	amod
23	sensibilidad	NOUN	10	conj
24	por	ADP	27	case
25	todas	DET	26	det
26	las	DET	27	det
27	cosas	NOUN	23	nmod
28	que	PRON	29	nsubj
29	pasan	VERB	27	acl
30	en	ADP	32	case
31	el	DET	32	det
32	país	NOUN	29	obl
33	"	PUNCT	6	punct
34	.	PUNCT	2	punct