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:
Entre los atletas de mayores posibilidades de salir airosos en Sydney señaló a Iván Pedroso, a los vallistas Anier García y Daimí Pernía, a la jabalinista Osleydis Menéndez, así como también a los saltadores de triple.
Postion	Tokenization
1	Entre
2	los
3	atletas
4	de
5	mayores
6	posibilidades
7	de
8	salir
9	airosos
10	en
11	Sydney
12	señaló
13	a
14	Iván
15	Pedroso
16	,
17	a
18	los
19	vallistas
20	Anier
21	García
22	y
23	Daimí
24	Pernía
25	,
26	a
27	la
28	jabalinista
29	Osleydis
30	Menéndez
31	,
32	así
33	como
34	también
35	a
36	los
37	saltadores
38	de
39	triple
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Entre	ADP	3	case
2	los	DET	3	det
3	atletas	NOUN	12	obl
4	de	ADP	6	case
5	mayores	ADJ	6	amod
6	posibilidades	NOUN	3	nmod
7	de	ADP	8	mark
8	salir	VERB	6	acl
9	airosos	ADJ	8	obj
10	en	ADP	11	case
11	Sydney	PROPN	8	obl
12	señaló	VERB	0	root
13	a	ADP	14	case
14	Iván	PROPN	12	obj
15	Pedroso	PROPN	14	flat
16	,	PUNCT	19	punct
17	a	ADP	19	case
18	los	DET	19	det
19	vallistas	NOUN	14	conj
20	Anier	PROPN	19	appos
21	García	PROPN	20	flat
22	y	CCONJ	23	cc
23	Daimí	PROPN	20	conj
24	Pernía	PROPN	23	flat
25	,	PUNCT	28	punct
26	a	ADP	28	case
27	la	DET	28	det
28	jabalinista	NOUN	14	conj
29	Osleydis	PROPN	28	appos
30	Menéndez	PROPN	29	flat
31	,	PUNCT	28	punct
32	así	ADV	34	cc
33	como	SCONJ	32	fixed
34	también	ADV	14	conj
35	a	ADP	34	case
36	los	DET	37	det
37	saltadores	NOUN	34	nmod
38	de	ADP	39	case
39	triple	NUM	37	nummod
40	.	PUNCT	12	punct