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:
Esas declaraciones cayeron hoy como una bomba en Sao Paulo, donde los miembros y simpatizantes de las escuelas de samba las conocieron mientras esperaban la proclamación de la campeona de este carnaval.
Postion	Tokenization
1	Esas
2	declaraciones
3	cayeron
4	hoy
5	como
6	una
7	bomba
8	en
9	Sao
10	Paulo
11	,
12	donde
13	los
14	miembros
15	y
16	simpatizantes
17	de
18	las
19	escuelas
20	de
21	samba
22	las
23	conocieron
24	mientras
25	esperaban
26	la
27	proclamación
28	de
29	la
30	campeona
31	de
32	este
33	carnaval
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Esas	DET	2	det
2	declaraciones	NOUN	3	nsubj
3	cayeron	VERB	0	root
4	hoy	ADV	3	advmod
5	como	SCONJ	7	mark
6	una	DET	7	det
7	bomba	NOUN	3	obl
8	en	ADP	9	case
9	Sao	PROPN	3	obl
10	Paulo	PROPN	9	flat
11	,	PUNCT	23	punct
12	donde	PRON	23	obl
13	los	DET	14	det
14	miembros	NOUN	23	nsubj
15	y	CCONJ	16	cc
16	simpatizantes	NOUN	14	conj
17	de	ADP	19	case
18	las	DET	19	det
19	escuelas	NOUN	14	nmod
20	de	ADP	21	case
21	samba	NOUN	19	nmod
22	las	PRON	23	obj
23	conocieron	VERB	9	acl
24	mientras	SCONJ	25	mark
25	esperaban	VERB	23	advcl
26	la	DET	27	det
27	proclamación	NOUN	25	obj
28	de	ADP	30	case
29	la	DET	30	det
30	campeona	NOUN	27	nmod
31	de	ADP	33	case
32	este	DET	33	det
33	carnaval	NOUN	30	nmod
34	.	PUNCT	3	punct