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:
Eddie McGee, un apuesto universitario de 21 años minusválido (de niño sufrió la amputación de una pierna al detectarse le un tumor maligno), ha sido el vencedor de la versión para EEUU de Big Brother, show que durante tres meses ha emitido la CBS, aunque sin lograr crear la expectación que el concurso ha obtenido en Europa.
Postion	Tokenization
1	Eddie
2	McGee
3	,
4	un
5	apuesto
6	universitario
7	de
8	21
9	años
10	minusválido
11	(
12	de
13	niño
14	sufrió
15	la
16	amputación
17	de
18	una
19	pierna
20	al
21	detectarse
22	detectar
23	se
24	le
25	un
26	tumor
27	maligno
28	)
29	,
30	ha
31	sido
32	el
33	vencedor
34	de
35	la
36	versión
37	para
38	EEUU
39	de
40	Big
41	Brother
42	,
43	show
44	que
45	durante
46	tres
47	meses
48	ha
49	emitido
50	la
51	CBS
52	,
53	aunque
54	sin
55	lograr
56	crear
57	la
58	expectación
59	que
60	el
61	concurso
62	ha
63	obtenido
64	en
65	Europa
66	.
Position	Tokenization	UPOS	Head	Deprel
1	Eddie	PROPN	32	nsubj
2	McGee	PROPN	1	flat
3	,	PUNCT	6	punct
4	un	DET	6	det
5	apuesto	ADJ	6	amod
6	universitario	NOUN	1	appos
7	de	ADP	9	case
8	21	NUM	9	nummod
9	años	NOUN	6	nmod
10	minusválido	ADJ	6	amod
11	(	PUNCT	14	punct
12	de	ADP	13	case
13	niño	NOUN	14	obl
14	sufrió	VERB	10	parataxis
15	la	DET	16	det
16	amputación	NOUN	14	obj
17	de	ADP	19	case
18	una	DET	19	det
19	pierna	NOUN	16	nmod
20	al	ADP	21	mark
21	detectarse	_	None	_
22	detectar	VERB	14	advcl
23	se	PRON	21	expl:pass
24	le	PRON	21	obj
25	un	DET	25	det
26	tumor	NOUN	21	obj
27	maligno	ADJ	25	amod
28	)	PUNCT	14	punct
29	,	PUNCT	6	punct
30	ha	AUX	32	aux
31	sido	AUX	32	cop
32	el	DET	32	det
33	vencedor	NOUN	0	root
34	de	ADP	35	case
35	la	DET	35	det
36	versión	NOUN	32	nmod
37	para	ADP	37	case
38	EEUU	PROPN	35	nmod
39	de	ADP	39	case
40	Big	PROPN	35	nmod
41	Brother	PROPN	39	flat
42	,	PUNCT	42	punct
43	show	NOUN	39	appos
44	que	PRON	48	obj
45	durante	ADP	46	case
46	tres	NUM	46	nummod
47	meses	NOUN	48	obl
48	ha	AUX	48	aux
49	emitido	VERB	42	acl
50	la	DET	50	det
51	CBS	PROPN	48	nsubj
52	,	PUNCT	54	punct
53	aunque	SCONJ	54	mark
54	sin	ADP	52	fixed
55	lograr	VERB	48	advcl
56	crear	VERB	54	xcomp
57	la	DET	57	det
58	expectación	NOUN	55	obj
59	que	PRON	62	obj
60	el	DET	60	det
61	concurso	NOUN	62	nsubj
62	ha	AUX	62	aux
63	obtenido	VERB	57	acl
64	en	ADP	64	case
65	Europa	PROPN	62	obl
66	.	PUNCT	32	punct