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:
Todo antes que quedarse en la encerrona de Port Spain, recorrer otra vez la retícula tediosa de calles que le llevaban a la Savannah, la misma Savannah de todas las islas del Caribe, la nostalgia de Africa convertida en una plaza mayor-pradera, quizá ninguna tan enorme como la de Port Spain pero que se la metan en el culo la Savannah, y el Jardín Botánico y la arquitectura colonial de la Woodford Square, las casonas grandilocuentes de la Maraval Road.
Postion	Tokenization
1	Todo
2	antes
3	que
4	quedarse
5	quedar
6	se
7	en
8	la
9	encerrona
10	de
11	Port
12	Spain
13	,
14	recorrer
15	otra
16	vez
17	la
18	retícula
19	tediosa
20	de
21	calles
22	que
23	le
24	llevaban
25	a
26	la
27	Savannah
28	,
29	la
30	misma
31	Savannah
32	de
33	todas
34	las
35	islas
36	del
37	Caribe
38	,
39	la
40	nostalgia
41	de
42	Africa
43	convertida
44	en
45	una
46	plaza
47	mayor-pradera
48	,
49	quizá
50	ninguna
51	tan
52	enorme
53	como
54	la
55	de
56	Port
57	Spain
58	pero
59	que
60	se
61	la
62	metan
63	en
64	el
65	culo
66	la
67	Savannah
68	,
69	y
70	el
71	Jardín
72	Botánico
73	y
74	la
75	arquitectura
76	colonial
77	de
78	la
79	Woodford
80	Square
81	,
82	las
83	casonas
84	grandilocuentes
85	de
86	la
87	Maraval
88	Road
89	.
Position	Tokenization	UPOS	Head	Deprel
1	Todo	PRON	0	root
2	antes	ADV	1	advmod
3	que	SCONJ	4	mark
4	quedarse	_	None	_
5	quedar	VERB	2	advcl
6	se	PRON	4	expl:pv
7	en	ADP	8	case
8	la	DET	8	det
9	encerrona	NOUN	4	obl
10	de	ADP	10	case
11	Port	PROPN	8	nmod
12	Spain	PROPN	10	flat
13	,	PUNCT	4	punct
14	recorrer	VERB	4	advcl
15	otra	DET	15	det
16	vez	NOUN	13	obl
17	la	DET	17	det
18	retícula	NOUN	13	obj
19	tediosa	ADJ	17	amod
20	de	ADP	20	case
21	calles	NOUN	17	nmod
22	que	PRON	23	nsubj
23	le	PRON	23	obj
24	llevaban	VERB	20	acl
25	a	ADP	26	case
26	la	DET	26	det
27	Savannah	PROPN	23	obl
28	,	PUNCT	30	punct
29	la	DET	30	det
30	misma	DET	28	det
31	Savannah	PROPN	26	flat
32	de	ADP	34	case
33	todas	DET	33	det
34	las	DET	34	det
35	islas	NOUN	30	nmod
36	del	ADP	36	case
37	Caribe	PROPN	34	nmod
38	,	PUNCT	39	punct
39	la	DET	39	det
40	nostalgia	NOUN	26	appos
41	de	ADP	41	case
42	Africa	PROPN	39	nmod
43	convertida	ADJ	39	amod
44	en	ADP	45	case
45	una	DET	45	det
46	plaza	NOUN	42	obj
47	mayor-pradera	NOUN	45	nmod
48	,	PUNCT	49	punct
49	quizá	ADV	49	advmod
50	ninguna	PRON	45	nmod
51	tan	ADV	51	advmod
52	enorme	ADJ	49	amod
53	como	SCONJ	53	mark
54	la	DET	51	det
55	de	ADP	53	case
56	Port	PROPN	53	obl
57	Spain	PROPN	55	flat
58	pero	CCONJ	61	cc
59	que	PRON	61	obl
60	se	PRON	61	iobj
61	la	PRON	61	obj
62	metan	VERB	49	conj
63	en	ADP	64	case
64	el	DET	64	det
65	culo	NOUN	61	obl
66	la	DET	66	det
67	Savannah	PROPN	61	iobj
68	,	PUNCT	70	punct
69	y	CCONJ	70	cc
70	el	DET	70	det
71	Jardín	PROPN	66	conj
72	Botánico	PROPN	70	flat
73	y	CCONJ	74	cc
74	la	DET	74	det
75	arquitectura	NOUN	66	conj
76	colonial	ADJ	74	amod
77	de	ADP	78	case
78	la	DET	78	det
79	Woodford	PROPN	74	nmod
80	Square	PROPN	78	flat
81	,	PUNCT	66	punct
82	las	DET	82	det
83	casonas	NOUN	66	appos
84	grandilocuentes	ADJ	82	amod
85	de	ADP	86	case
86	la	DET	86	det
87	Maraval	PROPN	82	nmod
88	Road	PROPN	86	flat
89	.	PUNCT	1	punct