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:
Pero la primera en destacarse fue la suiza Blatter, que cruzó en cabeza las dos primeras vueltas de un recorrido cuyos diseñadores tuvieron especial cuidado en no dañar la flora y fauna del entorno, en unos Juegos cuya organización presume de ser la más ecológica de la historia.
Postion	Tokenization
1	Pero
2	la
3	primera
4	en
5	destacarse
6	destacar
7	se
8	fue
9	la
10	suiza
11	Blatter
12	,
13	que
14	cruzó
15	en
16	cabeza
17	las
18	dos
19	primeras
20	vueltas
21	de
22	un
23	recorrido
24	cuyos
25	diseñadores
26	tuvieron
27	especial
28	cuidado
29	en
30	no
31	dañar
32	la
33	flora
34	y
35	fauna
36	del
37	entorno
38	,
39	en
40	unos
41	Juegos
42	cuya
43	organización
44	presume
45	de
46	ser
47	la
48	más
49	ecológica
50	de
51	la
52	historia
53	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	3	advmod
2	la	DET	3	det
3	primera	ADJ	0	root
4	en	ADP	5	mark
5	destacarse	_	None	_
6	destacar	VERB	3	acl
7	se	PRON	5	obj
8	fue	AUX	3	cop
9	la	DET	9	det
10	suiza	NOUN	3	nsubj
11	Blatter	PROPN	9	appos
12	,	PUNCT	13	punct
13	que	PRON	13	nsubj
14	cruzó	VERB	9	acl
15	en	ADP	15	case
16	cabeza	NOUN	13	obl
17	las	DET	19	det
18	dos	NUM	16	nummod
19	primeras	ADJ	19	amod
20	vueltas	NOUN	13	obj
21	de	ADP	22	case
22	un	DET	22	det
23	recorrido	NOUN	19	nmod
24	cuyos	PRON	24	nmod
25	diseñadores	NOUN	25	nsubj
26	tuvieron	VERB	22	acl
27	especial	ADJ	27	amod
28	cuidado	NOUN	25	obj
29	en	ADP	30	mark
30	no	ADV	30	advmod
31	dañar	VERB	25	advcl
32	la	DET	32	det
33	flora	NOUN	30	obj
34	y	CCONJ	34	cc
35	fauna	NOUN	32	conj
36	del	ADP	36	case
37	entorno	NOUN	34	nmod
38	,	PUNCT	40	punct
39	en	ADP	40	case
40	unos	DET	40	det
41	Juegos	PROPN	30	obl
42	cuya	PRON	42	nmod
43	organización	NOUN	43	nsubj
44	presume	VERB	40	acl
45	de	ADP	48	mark
46	ser	AUX	48	cop
47	la	DET	48	det
48	más	ADV	48	advmod
49	ecológica	ADJ	43	xcomp
50	de	ADP	51	case
51	la	DET	51	det
52	historia	NOUN	48	nmod
53	.	PUNCT	3	punct