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:
"Lo único que pide el COI es que la comida que se sirve a los atletas en las villas olímpicas sea variada y de calidad", agrega la réplica de Lausana.
Postion	Tokenization
1	"
2	Lo
3	único
4	que
5	pide
6	el
7	COI
8	es
9	que
10	la
11	comida
12	que
13	se
14	sirve
15	a
16	los
17	atletas
18	en
19	las
20	villas
21	olímpicas
22	sea
23	variada
24	y
25	de
26	calidad
27	"
28	,
29	agrega
30	la
31	réplica
32	de
33	Lausana
34	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	8	punct
2	Lo	PRON	5	det
3	único	ADJ	5	amod
4	que	PRON	5	obj
5	pide	VERB	8	csubj
6	el	DET	7	det
7	COI	PROPN	5	nsubj
8	es	AUX	29	ccomp
9	que	SCONJ	23	mark
10	la	DET	11	det
11	comida	NOUN	23	nsubj
12	que	PRON	14	nsubj
13	se	PRON	14	expl:pass
14	sirve	VERB	11	acl
15	a	ADP	17	case
16	los	DET	17	det
17	atletas	NOUN	14	obj
18	en	ADP	20	case
19	las	DET	20	det
20	villas	NOUN	14	obl
21	olímpicas	ADJ	20	amod
22	sea	AUX	23	cop
23	variada	ADJ	8	ccomp
24	y	CCONJ	26	cc
25	de	ADP	26	case
26	calidad	NOUN	23	conj
27	"	PUNCT	8	punct
28	,	PUNCT	8	punct
29	agrega	VERB	0	root
30	la	DET	31	det
31	réplica	NOUN	29	nsubj
32	de	ADP	33	case
33	Lausana	PROPN	31	nmod
34	.	PUNCT	29	punct