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:
Núñez también habló del caso Anelka: "Si castigas a un jugador y cuando pierdes un partido lo perdonas, eso sí que pasa factura.
Postion	Tokenization
1	Núñez
2	también
3	habló
4	del
5	caso
6	Anelka
7	:
8	"
9	Si
10	castigas
11	a
12	un
13	jugador
14	y
15	cuando
16	pierdes
17	un
18	partido
19	lo
20	perdonas
21	,
22	eso
23	sí
24	que
25	pasa
26	factura
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Núñez	PROPN	3	nsubj
2	también	ADV	3	advmod
3	habló	VERB	0	root
4	del	ADP	5	case
5	caso	NOUN	3	obj
6	Anelka	PROPN	5	appos
7	:	PUNCT	25	punct
8	"	PUNCT	25	punct
9	Si	SCONJ	10	mark
10	castigas	VERB	25	advcl
11	a	ADP	13	case
12	un	DET	13	det
13	jugador	NOUN	10	obj
14	y	CCONJ	20	cc
15	cuando	SCONJ	16	mark
16	pierdes	VERB	20	advcl
17	un	DET	18	det
18	partido	NOUN	16	obj
19	lo	PRON	20	obj
20	perdonas	VERB	10	conj
21	,	PUNCT	10	punct
22	eso	PRON	25	nsubj
23	sí	INTJ	25	advcl
24	que	SCONJ	23	fixed
25	pasa	VERB	3	advcl
26	factura	NOUN	25	obj
27	.	PUNCT	3	punct