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:
Si Van Gaal y, por copia, amistad, fidelidad, stock options o lo que sea, Núñez temen al Camp Nou, es porque algo no habrán hecho bien.
Postion	Tokenization
1	Si
2	Van
3	Gaal
4	y
5	,
6	por
7	copia
8	,
9	amistad
10	,
11	fidelidad
12	,
13	stock
14	options
15	o
16	lo
17	que
18	sea
19	,
20	Núñez
21	temen
22	al
23	Camp
24	Nou
25	,
26	es
27	porque
28	algo
29	no
30	habrán
31	hecho
32	bien
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Si	SCONJ	21	mark
2	Van	PROPN	21	nsubj
3	Gaal	PROPN	2	flat
4	y	CCONJ	20	cc
5	,	PUNCT	7	punct
6	por	ADP	7	case
7	copia	NOUN	20	nmod
8	,	PUNCT	9	punct
9	amistad	NOUN	7	appos
10	,	PUNCT	11	punct
11	fidelidad	NOUN	7	appos
12	,	PUNCT	13	punct
13	stock	NOUN	7	appos
14	options	NOUN	13	compound
15	o	CCONJ	17	cc
16	lo	PRON	17	det
17	que	PRON	7	conj
18	sea	AUX	17	cop
19	,	PUNCT	7	punct
20	Núñez	PROPN	2	conj
21	temen	VERB	31	advcl
22	al	ADP	23	case
23	Camp	PROPN	21	obj
24	Nou	NUM	23	nummod
25	,	PUNCT	21	punct
26	es	AUX	31	cop
27	porque	SCONJ	31	mark
28	algo	PRON	31	obj
29	no	ADV	31	advmod
30	habrán	AUX	31	aux
31	hecho	VERB	0	root
32	bien	ADV	31	advmod
33	.	PUNCT	31	punct