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:
Para Núñez, el comportamiento de la prensa ha sido hostil hacia Van Gaal desde el primer día que aterrizó en el Barça, y volvió a tener palabras de elogio para el técnico holandés, al que califica de "trabajador y profesional como pocos".
Postion	Tokenization
1	Para
2	Núñez
3	,
4	el
5	comportamiento
6	de
7	la
8	prensa
9	ha
10	sido
11	hostil
12	hacia
13	Van
14	Gaal
15	desde
16	el
17	primer
18	día
19	que
20	aterrizó
21	en
22	el
23	Barça
24	,
25	y
26	volvió
27	a
28	tener
29	palabras
30	de
31	elogio
32	para
33	el
34	técnico
35	holandés
36	,
37	al
38	que
39	califica
40	de
41	"
42	trabajador
43	y
44	profesional
45	como
46	pocos
47	"
48	.
Position	Tokenization	UPOS	Head	Deprel
1	Para	ADP	2	case
2	Núñez	PROPN	11	obl
3	,	PUNCT	2	punct
4	el	DET	5	det
5	comportamiento	NOUN	11	nsubj
6	de	ADP	8	case
7	la	DET	8	det
8	prensa	NOUN	5	nmod
9	ha	AUX	11	aux
10	sido	AUX	11	cop
11	hostil	ADJ	0	root
12	hacia	ADP	13	case
13	Van	PROPN	11	obl
14	Gaal	PROPN	13	flat
15	desde	ADP	18	case
16	el	DET	18	det
17	primer	ADJ	18	amod
18	día	NOUN	11	obl
19	que	PRON	20	obl
20	aterrizó	VERB	18	acl
21	en	ADP	23	case
22	el	DET	23	det
23	Barça	PROPN	20	obl
24	,	PUNCT	26	punct
25	y	CCONJ	26	cc
26	volvió	VERB	11	conj
27	a	ADP	28	mark
28	tener	VERB	26	xcomp
29	palabras	NOUN	26	obj
30	de	ADP	31	case
31	elogio	NOUN	29	nmod
32	para	ADP	34	case
33	el	DET	34	det
34	técnico	NOUN	26	obl
35	holandés	ADJ	34	amod
36	,	PUNCT	39	punct
37	al	ADP	38	case
38	que	PRON	39	obj
39	califica	VERB	34	acl
40	de	ADP	42	case
41	"	PUNCT	42	punct
42	trabajador	ADJ	39	obj
43	y	CCONJ	44	cc
44	profesional	ADJ	42	conj
45	como	SCONJ	46	mark
46	pocos	PRON	42	obl
47	"	PUNCT	42	punct
48	.	PUNCT	11	punct