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:
Isabel Fernández, medalla de oro en los Juegos Olímpicos de Sydney en Judo en la categoría de menos de 57 kilos, ha asegurado hoy a su llegada a Alicante que continuará en la competición de máximo nivel "mientras tenga motivación".
Postion	Tokenization
1	Isabel
2	Fernández
3	,
4	medalla
5	de
6	oro
7	en
8	los
9	Juegos
10	Olímpicos
11	de
12	Sydney
13	en
14	Judo
15	en
16	la
17	categoría
18	de
19	menos
20	de
21	57
22	kilos
23	,
24	ha
25	asegurado
26	hoy
27	a
28	su
29	llegada
30	a
31	Alicante
32	que
33	continuará
34	en
35	la
36	competición
37	de
38	máximo
39	nivel
40	"
41	mientras
42	tenga
43	motivación
44	"
45	.
Position	Tokenization	UPOS	Head	Deprel
1	Isabel	PROPN	25	nsubj
2	Fernández	PROPN	1	flat
3	,	PUNCT	4	punct
4	medalla	NOUN	1	appos
5	de	ADP	6	case
6	oro	NOUN	4	nmod
7	en	ADP	9	case
8	los	DET	9	det
9	Juegos	PROPN	4	nmod
10	Olímpicos	PROPN	9	flat
11	de	ADP	12	case
12	Sydney	PROPN	9	nmod
13	en	ADP	14	case
14	Judo	PROPN	4	nmod
15	en	ADP	17	case
16	la	DET	17	det
17	categoría	NOUN	4	nmod
18	de	ADP	22	case
19	menos	ADV	22	advmod
20	de	ADP	19	case
21	57	NUM	19	nummod
22	kilos	NOUN	17	nmod
23	,	PUNCT	4	punct
24	ha	AUX	25	aux
25	asegurado	VERB	0	root
26	hoy	ADV	25	advmod
27	a	ADP	29	case
28	su	DET	29	det
29	llegada	NOUN	25	obl
30	a	ADP	31	case
31	Alicante	PROPN	29	nmod
32	que	SCONJ	33	mark
33	continuará	VERB	25	ccomp
34	en	ADP	36	case
35	la	DET	36	det
36	competición	NOUN	33	obl
37	de	ADP	39	case
38	máximo	ADJ	39	amod
39	nivel	NOUN	36	nmod
40	"	PUNCT	42	punct
41	mientras	SCONJ	42	mark
42	tenga	VERB	33	advcl
43	motivación	NOUN	42	obj
44	"	PUNCT	42	punct
45	.	PUNCT	25	punct