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:
Coincidió que yo jugué dos partidos en el medio centro y me ficharon por eso, aparte que yo nunca me negué a jugar en esa posición ", afirmó.
Postion	Tokenization
1	Coincidió
2	que
3	yo
4	jugué
5	dos
6	partidos
7	en
8	el
9	medio
10	centro
11	y
12	me
13	ficharon
14	por
15	eso
16	,
17	aparte
18	que
19	yo
20	nunca
21	me
22	negué
23	a
24	jugar
25	en
26	esa
27	posición
28	"
29	,
30	afirmó
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Coincidió	VERB	30	ccomp
2	que	SCONJ	4	mark
3	yo	PRON	4	nsubj
4	jugué	VERB	1	csubj
5	dos	NUM	6	nummod
6	partidos	NOUN	4	obj
7	en	ADP	10	case
8	el	DET	10	det
9	medio	NUM	8	nummod
10	centro	NOUN	4	obl
11	y	CCONJ	13	cc
12	me	PRON	13	obj
13	ficharon	VERB	4	conj
14	por	ADP	15	case
15	eso	PRON	13	obl
16	,	PUNCT	17	punct
17	aparte	ADV	13	advmod
18	que	SCONJ	22	mark
19	yo	PRON	22	nsubj
20	nunca	ADV	22	advmod
21	me	PRON	22	expl:pv
22	negué	VERB	17	advcl
23	a	ADP	24	mark
24	jugar	VERB	22	xcomp
25	en	ADP	27	case
26	esa	DET	27	det
27	posición	NOUN	24	obl
28	"	PUNCT	1	punct
29	,	PUNCT	1	punct
30	afirmó	VERB	0	root
31	.	PUNCT	30	punct