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:
El comunicado, que se distribuyó incluso en las recepciones de los hoteles oficiales de la Conferencia, desmiente que Samaranch reciba un salario por su trabajo en el COI, que utilice helicóptero para recorrer los 60 kilómetros que separan el aeropuerto de Ginebra de Lausana, que solicite hoteles y coches lujosos cuando visita otros países y que exija una determinada calidad en la comida para los miembros de organismo.
Postion	Tokenization
1	El
2	comunicado
3	,
4	que
5	se
6	distribuyó
7	incluso
8	en
9	las
10	recepciones
11	de
12	los
13	hoteles
14	oficiales
15	de
16	la
17	Conferencia
18	,
19	desmiente
20	que
21	Samaranch
22	reciba
23	un
24	salario
25	por
26	su
27	trabajo
28	en
29	el
30	COI
31	,
32	que
33	utilice
34	helicóptero
35	para
36	recorrer
37	los
38	60
39	kilómetros
40	que
41	separan
42	el
43	aeropuerto
44	de
45	Ginebra
46	de
47	Lausana
48	,
49	que
50	solicite
51	hoteles
52	y
53	coches
54	lujosos
55	cuando
56	visita
57	otros
58	países
59	y
60	que
61	exija
62	una
63	determinada
64	calidad
65	en
66	la
67	comida
68	para
69	los
70	miembros
71	de
72	organismo
73	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	comunicado	NOUN	19	nsubj
3	,	PUNCT	6	punct
4	que	PRON	6	nsubj
5	se	PRON	6	expl:pass
6	distribuyó	VERB	2	acl
7	incluso	ADV	6	advmod
8	en	ADP	7	case
9	las	DET	10	det
10	recepciones	NOUN	7	nmod
11	de	ADP	13	case
12	los	DET	13	det
13	hoteles	NOUN	10	nmod
14	oficiales	ADJ	13	amod
15	de	ADP	17	case
16	la	DET	17	det
17	Conferencia	PROPN	13	nmod
18	,	PUNCT	6	punct
19	desmiente	VERB	0	root
20	que	SCONJ	22	mark
21	Samaranch	PROPN	22	nsubj
22	reciba	VERB	19	ccomp
23	un	DET	24	det
24	salario	NOUN	22	obj
25	por	ADP	27	case
26	su	DET	27	det
27	trabajo	NOUN	22	obl
28	en	ADP	30	case
29	el	DET	30	det
30	COI	PROPN	27	nmod
31	,	PUNCT	33	punct
32	que	SCONJ	33	mark
33	utilice	VERB	22	advcl
34	helicóptero	NOUN	33	obj
35	para	ADP	36	mark
36	recorrer	VERB	33	advcl
37	los	DET	38	det
38	60	NUM	39	nummod
39	kilómetros	NOUN	36	obj
40	que	PRON	41	nsubj
41	separan	VERB	39	acl
42	el	DET	43	det
43	aeropuerto	NOUN	41	obj
44	de	ADP	45	case
45	Ginebra	PROPN	43	nmod
46	de	ADP	47	case
47	Lausana	PROPN	41	obj
48	,	PUNCT	50	punct
49	que	SCONJ	50	mark
50	solicite	VERB	22	advcl
51	hoteles	NOUN	50	obj
52	y	CCONJ	53	cc
53	coches	NOUN	51	conj
54	lujosos	ADJ	51	amod
55	cuando	SCONJ	56	mark
56	visita	VERB	50	advcl
57	otros	DET	58	det
58	países	NOUN	56	obj
59	y	CCONJ	61	cc
60	que	SCONJ	61	mark
61	exija	VERB	22	conj
62	una	DET	64	det
63	determinada	ADJ	64	amod
64	calidad	NOUN	61	obj
65	en	ADP	67	case
66	la	DET	67	det
67	comida	NOUN	64	nmod
68	para	ADP	70	case
69	los	DET	70	det
70	miembros	NOUN	67	nmod
71	de	ADP	72	case
72	organismo	NOUN	70	nmod
73	.	PUNCT	19	punct