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:
Volver a la habitación, naufragar en una soledad gris a la espera del milagro del sol, deambular por una ciudad demasiado vista, sin otro objetivo que contemplar los resultados del cruce de negra e hindú, hindú y holandés, holandés y negra, español e hindú, mulata e hindú, holandesa y mulato, todas las combinaciones raciales que según los prospectos turísticos convertían a Trinidad en un escaparate de la confusión de las razas tan espléndido como la playa de Copacabana.
Postion	Tokenization
1	Volver
2	a
3	la
4	habitación
5	,
6	naufragar
7	en
8	una
9	soledad
10	gris
11	a
12	la
13	espera
14	del
15	milagro
16	del
17	sol
18	,
19	deambular
20	por
21	una
22	ciudad
23	demasiado
24	vista
25	,
26	sin
27	otro
28	objetivo
29	que
30	contemplar
31	los
32	resultados
33	del
34	cruce
35	de
36	negra
37	e
38	hindú
39	,
40	hindú
41	y
42	holandés
43	,
44	holandés
45	y
46	negra
47	,
48	español
49	e
50	hindú
51	,
52	mulata
53	e
54	hindú
55	,
56	holandesa
57	y
58	mulato
59	,
60	todas
61	las
62	combinaciones
63	raciales
64	que
65	según
66	los
67	prospectos
68	turísticos
69	convertían
70	a
71	Trinidad
72	en
73	un
74	escaparate
75	de
76	la
77	confusión
78	de
79	las
80	razas
81	tan
82	espléndido
83	como
84	la
85	playa
86	de
87	Copacabana
88	.
Position	Tokenization	UPOS	Head	Deprel
1	Volver	VERB	0	root
2	a	ADP	4	case
3	la	DET	4	det
4	habitación	NOUN	1	obj
5	,	PUNCT	1	punct
6	naufragar	VERB	1	advcl
7	en	ADP	9	case
8	una	DET	9	det
9	soledad	NOUN	6	obl
10	gris	ADJ	9	amod
11	a	ADP	13	case
12	la	DET	13	det
13	espera	NOUN	6	obl
14	del	ADP	15	case
15	milagro	NOUN	13	nmod
16	del	ADP	17	case
17	sol	NOUN	15	nmod
18	,	PUNCT	1	punct
19	deambular	VERB	1	advcl
20	por	ADP	22	case
21	una	DET	22	det
22	ciudad	NOUN	19	obl
23	demasiado	ADV	24	advmod
24	vista	ADJ	22	amod
25	,	PUNCT	28	punct
26	sin	ADP	28	case
27	otro	DET	28	det
28	objetivo	NOUN	19	obl
29	que	SCONJ	30	mark
30	contemplar	VERB	28	acl
31	los	DET	32	det
32	resultados	NOUN	30	obj
33	del	ADP	34	case
34	cruce	NOUN	32	nmod
35	de	ADP	36	case
36	negra	NOUN	34	nmod
37	e	CCONJ	38	cc
38	hindú	NOUN	36	conj
39	,	PUNCT	40	punct
40	hindú	NOUN	36	conj
41	y	CCONJ	42	cc
42	holandés	NOUN	40	conj
43	,	PUNCT	44	punct
44	holandés	NOUN	36	conj
45	y	CCONJ	46	cc
46	negra	NOUN	44	conj
47	,	PUNCT	48	punct
48	español	NOUN	36	conj
49	e	CCONJ	50	cc
50	hindú	NOUN	48	conj
51	,	PUNCT	52	punct
52	mulata	NOUN	36	conj
53	e	CCONJ	54	cc
54	hindú	NOUN	52	conj
55	,	PUNCT	56	punct
56	holandesa	NOUN	36	conj
57	y	CCONJ	58	cc
58	mulato	NOUN	56	conj
59	,	PUNCT	62	punct
60	todas	DET	61	det
61	las	DET	62	det
62	combinaciones	NOUN	36	appos
63	raciales	ADJ	62	amod
64	que	PRON	69	nsubj
65	según	ADP	67	case
66	los	DET	67	det
67	prospectos	NOUN	69	obl
68	turísticos	ADJ	67	amod
69	convertían	VERB	62	acl
70	a	ADP	71	case
71	Trinidad	PROPN	69	obj
72	en	ADP	74	case
73	un	DET	74	det
74	escaparate	NOUN	69	obj
75	de	ADP	77	case
76	la	DET	77	det
77	confusión	NOUN	74	nmod
78	de	ADP	80	case
79	las	DET	80	det
80	razas	NOUN	77	nmod
81	tan	ADV	82	advmod
82	espléndido	ADJ	74	amod
83	como	SCONJ	85	mark
84	la	DET	85	det
85	playa	NOUN	82	obl
86	de	ADP	87	case
87	Copacabana	PROPN	85	nmod
88	.	PUNCT	1	punct