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:
"Muchos compositores de samba y directores artísticos de Río de Janeiro ya se están trasladando a Sao Paulo, porque también consideran que la fiesta está mejorando", añadió Carrioulo.
Postion	Tokenization
1	"
2	Muchos
3	compositores
4	de
5	samba
6	y
7	directores
8	artísticos
9	de
10	Río
11	de
12	Janeiro
13	ya
14	se
15	están
16	trasladando
17	a
18	Sao
19	Paulo
20	,
21	porque
22	también
23	consideran
24	que
25	la
26	fiesta
27	está
28	mejorando
29	"
30	,
31	añadió
32	Carrioulo
33	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	16	punct
2	Muchos	DET	3	det
3	compositores	NOUN	16	nsubj
4	de	ADP	5	case
5	samba	NOUN	3	nmod
6	y	CCONJ	7	cc
7	directores	NOUN	3	conj
8	artísticos	ADJ	7	amod
9	de	ADP	10	case
10	Río	PROPN	3	nmod
11	de	ADP	12	case
12	Janeiro	PROPN	10	flat
13	ya	ADV	16	advmod
14	se	PRON	16	expl:pv
15	están	AUX	16	aux
16	trasladando	VERB	31	ccomp
17	a	ADP	18	case
18	Sao	PROPN	16	obl
19	Paulo	PROPN	18	flat
20	,	PUNCT	23	punct
21	porque	SCONJ	23	mark
22	también	ADV	23	advmod
23	consideran	VERB	16	advcl
24	que	SCONJ	28	mark
25	la	DET	26	det
26	fiesta	NOUN	28	nsubj
27	está	AUX	28	aux
28	mejorando	VERB	23	ccomp
29	"	PUNCT	16	punct
30	,	PUNCT	16	punct
31	añadió	VERB	0	root
32	Carrioulo	PROPN	31	nsubj
33	.	PUNCT	31	punct