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:
A mí no me fastidia, porque lo que yo quiero es que el equipo gane, aún a costa de no jugar ", afirmó.
Postion	Tokenization
1	A
2	mí
3	no
4	me
5	fastidia
6	,
7	porque
8	lo
9	que
10	yo
11	quiero
12	es
13	que
14	el
15	equipo
16	gane
17	,
18	aún
19	a
20	costa
21	de
22	no
23	jugar
24	"
25	,
26	afirmó
27	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	2	case
2	mí	PRON	5	obj
3	no	ADV	5	advmod
4	me	PRON	5	iobj
5	fastidia	VERB	26	ccomp
6	,	PUNCT	12	punct
7	porque	SCONJ	12	mark
8	lo	PRON	11	det
9	que	PRON	11	obj
10	yo	PRON	11	nsubj
11	quiero	VERB	12	csubj
12	es	AUX	5	advcl
13	que	SCONJ	16	mark
14	el	DET	15	det
15	equipo	NOUN	16	nsubj
16	gane	VERB	12	ccomp
17	,	PUNCT	18	punct
18	aún	ADV	16	advmod
19	a	ADP	23	mark
20	costa	NOUN	19	fixed
21	de	ADP	19	fixed
22	no	ADV	23	advmod
23	jugar	VERB	18	advcl
24	"	PUNCT	5	punct
25	,	PUNCT	5	punct
26	afirmó	VERB	0	root
27	.	PUNCT	26	punct