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:
"Pienso que para poder ganar la medalla de oro en Sydney habrá que saltar alrededor de los 2.37 metros", vaticinó Sotomayor, y añadió que "hay saltadores con condiciones de hacerlo".
Postion	Tokenization
1	"
2	Pienso
3	que
4	para
5	poder
6	ganar
7	la
8	medalla
9	de
10	oro
11	en
12	Sydney
13	habrá
14	que
15	saltar
16	alrededor
17	de
18	los
19	2.37
20	metros
21	"
22	,
23	vaticinó
24	Sotomayor
25	,
26	y
27	añadió
28	que
29	"
30	hay
31	saltadores
32	con
33	condiciones
34	de
35	hacerlo
36	hacer
37	lo
38	"
39	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Pienso	VERB	23	ccomp
3	que	SCONJ	15	mark
4	para	ADP	6	mark
5	poder	AUX	6	aux
6	ganar	VERB	15	advcl
7	la	DET	8	det
8	medalla	NOUN	6	obj
9	de	ADP	10	case
10	oro	NOUN	8	nmod
11	en	ADP	12	case
12	Sydney	PROPN	6	obl
13	habrá	AUX	2	ccomp
14	que	SCONJ	15	cc
15	saltar	VERB	13	conj
16	alrededor	ADV	19	advmod
17	de	ADP	19	case
18	los	DET	19	det
19	2.37	NUM	20	nummod
20	metros	NOUN	15	obl
21	"	PUNCT	2	punct
22	,	PUNCT	2	punct
23	vaticinó	VERB	0	root
24	Sotomayor	PROPN	23	nsubj
25	,	PUNCT	27	punct
26	y	CCONJ	27	cc
27	añadió	VERB	23	conj
28	que	SCONJ	30	mark
29	"	PUNCT	30	punct
30	hay	AUX	27	ccomp
31	saltadores	NOUN	30	obj
32	con	ADP	33	case
33	condiciones	NOUN	31	nmod
34	de	ADP	35	mark
35	hacerlo	_	None	_
36	hacer	VERB	33	acl
37	lo	PRON	35	obj
38	"	PUNCT	30	punct
39	.	PUNCT	23	punct