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:
Pavón, de 26 años, logró 86 puntos de un total de 115 posibles en una consulta promovida por el diario costarricense entre 23 periodistas del área a quienes pidió citar por los cinco mejores jugadores de Centroamérica.
Postion	Tokenization
1	Pavón
2	,
3	de
4	26
5	años
6	,
7	logró
8	86
9	puntos
10	de
11	un
12	total
13	de
14	115
15	posibles
16	en
17	una
18	consulta
19	promovida
20	por
21	el
22	diario
23	costarricense
24	entre
25	23
26	periodistas
27	del
28	área
29	a
30	quienes
31	pidió
32	citar
33	por
34	los
35	cinco
36	mejores
37	jugadores
38	de
39	Centroamérica
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Pavón	PROPN	7	nsubj
2	,	PUNCT	5	punct
3	de	ADP	5	case
4	26	NUM	5	nummod
5	años	NOUN	1	nmod
6	,	PUNCT	5	punct
7	logró	VERB	0	root
8	86	NUM	9	nummod
9	puntos	NOUN	7	obj
10	de	ADP	12	case
11	un	DET	12	det
12	total	NOUN	9	nmod
13	de	ADP	15	case
14	115	NUM	15	nummod
15	posibles	ADJ	12	amod
16	en	ADP	18	case
17	una	DET	18	det
18	consulta	NOUN	7	obl
19	promovida	ADJ	18	amod
20	por	ADP	22	case
21	el	DET	22	det
22	diario	NOUN	19	obj
23	costarricense	ADJ	22	amod
24	entre	ADP	26	case
25	23	NUM	26	nummod
26	periodistas	NOUN	19	obl
27	del	ADP	28	case
28	área	NOUN	26	nmod
29	a	ADP	30	case
30	quienes	PRON	31	iobj
31	pidió	VERB	26	acl
32	citar	VERB	31	xcomp
33	por	ADP	37	case
34	los	DET	37	det
35	cinco	NUM	34	nummod
36	mejores	ADJ	37	amod
37	jugadores	NOUN	32	obl
38	de	ADP	39	case
39	Centroamérica	PROPN	37	nmod
40	.	PUNCT	7	punct