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:
Fernández afirmó que una parte importante del éxito obtenido corresponde a su marido y entrenador, Javier Alonso, "él tiene que ver mucho en esta medalla porque me ha ayudado y apoyado en los momentos difíciles", indicó la campeona olímpica que agradeció la colaboración de la Federación Española de Judo para que su entrenador pudiera estar cerca de ella durante los combates.
Postion	Tokenization
1	Fernández
2	afirmó
3	que
4	una
5	parte
6	importante
7	del
8	éxito
9	obtenido
10	corresponde
11	a
12	su
13	marido
14	y
15	entrenador
16	,
17	Javier
18	Alonso
19	,
20	"
21	él
22	tiene
23	que
24	ver
25	mucho
26	en
27	esta
28	medalla
29	porque
30	me
31	ha
32	ayudado
33	y
34	apoyado
35	en
36	los
37	momentos
38	difíciles
39	"
40	,
41	indicó
42	la
43	campeona
44	olímpica
45	que
46	agradeció
47	la
48	colaboración
49	de
50	la
51	Federación
52	Española
53	de
54	Judo
55	para
56	que
57	su
58	entrenador
59	pudiera
60	estar
61	cerca
62	de
63	ella
64	durante
65	los
66	combates
67	.
Position	Tokenization	UPOS	Head	Deprel
1	Fernández	PROPN	2	nsubj
2	afirmó	VERB	0	root
3	que	SCONJ	10	mark
4	una	DET	5	det
5	parte	NOUN	10	nsubj
6	importante	ADJ	5	amod
7	del	ADP	8	case
8	éxito	NOUN	5	nmod
9	obtenido	ADJ	8	amod
10	corresponde	VERB	2	ccomp
11	a	ADP	13	case
12	su	DET	13	det
13	marido	NOUN	10	obj
14	y	CCONJ	15	cc
15	entrenador	NOUN	13	conj
16	,	PUNCT	17	punct
17	Javier	PROPN	13	appos
18	Alonso	PROPN	17	flat
19	,	PUNCT	17	punct
20	"	PUNCT	22	punct
21	él	PRON	24	nsubj
22	tiene	VERB	41	ccomp
23	que	SCONJ	24	cc
24	ver	VERB	22	conj
25	mucho	ADV	24	advmod
26	en	ADP	28	case
27	esta	DET	28	det
28	medalla	NOUN	24	obl
29	porque	SCONJ	32	mark
30	me	PRON	32	obj
31	ha	AUX	32	aux
32	ayudado	VERB	24	advcl
33	y	CCONJ	34	cc
34	apoyado	VERB	32	conj
35	en	ADP	37	case
36	los	DET	37	det
37	momentos	NOUN	32	obl
38	difíciles	ADJ	37	amod
39	"	PUNCT	22	punct
40	,	PUNCT	22	punct
41	indicó	VERB	2	advcl
42	la	DET	43	det
43	campeona	NOUN	41	nsubj
44	olímpica	ADJ	43	amod
45	que	PRON	46	nsubj
46	agradeció	VERB	43	acl
47	la	DET	48	det
48	colaboración	NOUN	46	obj
49	de	ADP	51	case
50	la	DET	51	det
51	Federación	PROPN	48	nmod
52	Española	PROPN	51	flat
53	de	ADP	54	case
54	Judo	PROPN	51	flat
55	para	ADP	60	mark
56	que	SCONJ	60	mark
57	su	DET	58	det
58	entrenador	NOUN	60	nsubj
59	pudiera	AUX	60	aux
60	estar	VERB	48	acl
61	cerca	ADV	60	advmod
62	de	ADP	63	case
63	ella	PRON	61	obl
64	durante	ADP	66	case
65	los	DET	66	det
66	combates	NOUN	60	obl
67	.	PUNCT	2	punct