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:
Sotomayor indicó que hay saltadores hoy en día que están saltando sobre los 2.35 metros o los 2,37, "pero el más estable este año ha sido el ruso Voroinin", afirmó.
Postion	Tokenization
1	Sotomayor
2	indicó
3	que
4	hay
5	saltadores
6	hoy
7	en
8	día
9	que
10	están
11	saltando
12	sobre
13	los
14	2.35
15	metros
16	o
17	los
18	2,37
19	,
20	"
21	pero
22	el
23	más
24	estable
25	este
26	año
27	ha
28	sido
29	el
30	ruso
31	Voroinin
32	"
33	,
34	afirmó
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Sotomayor	PROPN	2	nsubj
2	indicó	VERB	0	root
3	que	SCONJ	4	mark
4	hay	AUX	2	ccomp
5	saltadores	NOUN	4	obj
6	hoy	ADV	4	advmod
7	en	ADP	8	case
8	día	NOUN	6	obl
9	que	PRON	11	nsubj
10	están	AUX	11	aux
11	saltando	VERB	4	advcl
12	sobre	ADP	15	case
13	los	DET	14	det
14	2.35	NUM	15	nummod
15	metros	NOUN	11	obl
16	o	CCONJ	18	cc
17	los	DET	18	det
18	2,37	NUM	15	conj
19	,	PUNCT	34	punct
20	"	PUNCT	34	punct
21	pero	CCONJ	34	cc
22	el	DET	24	det
23	más	ADV	24	advmod
24	estable	ADJ	34	ccomp
25	este	DET	26	det
26	año	NOUN	24	obl
27	ha	AUX	24	aux
28	sido	AUX	24	cop
29	el	DET	30	det
30	ruso	ADJ	24	nsubj
31	Voroinin	PROPN	30	obj
32	"	PUNCT	24	punct
33	,	PUNCT	24	punct
34	afirmó	VERB	2	conj
35	.	PUNCT	2	punct