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:
"Tengo que sentirme al cien por cien, porque si estoy a un tanto por ciento inferior será perjudicial para mí y para el equipo", explicó el central, que pasará una prueba física.
Postion	Tokenization
1	"
2	Tengo
3	que
4	sentirme
5	sentir
6	me
7	al
8	cien
9	por
10	cien
11	,
12	porque
13	si
14	estoy
15	a
16	un
17	tanto
18	por
19	ciento
20	inferior
21	será
22	perjudicial
23	para
24	mí
25	y
26	para
27	el
28	equipo
29	"
30	,
31	explicó
32	el
33	central
34	,
35	que
36	pasará
37	una
38	prueba
39	física
40	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Tengo	VERB	30	ccomp
3	que	SCONJ	4	cc
4	sentirme	_	None	_
5	sentir	VERB	2	conj
6	me	PRON	4	expl:pv
7	al	ADP	7	case
8	cien	NUM	4	obj
9	por	ADP	7	compound
10	cien	NUM	7	compound
11	,	PUNCT	21	punct
12	porque	SCONJ	21	mark
13	si	SCONJ	16	mark
14	estoy	AUX	16	cop
15	a	ADP	16	case
16	un	DET	16	det
17	tanto	X	21	advcl
18	por	ADP	18	case
19	ciento	NUM	16	nmod
20	inferior	ADJ	16	amod
21	será	AUX	21	cop
22	perjudicial	ADJ	4	advcl
23	para	ADP	23	case
24	mí	PRON	21	obj
25	y	CCONJ	27	cc
26	para	ADP	27	case
27	el	DET	27	det
28	equipo	NOUN	23	conj
29	"	PUNCT	2	punct
30	,	PUNCT	2	punct
31	explicó	VERB	0	root
32	el	DET	32	det
33	central	NOUN	30	nsubj
34	,	PUNCT	35	punct
35	que	PRON	35	nsubj
36	pasará	VERB	32	acl
37	una	DET	37	det
38	prueba	NOUN	35	obj
39	física	ADJ	37	amod
40	.	PUNCT	30	punct