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 carnaval de Sao Paulo, sin tener el brillo ni la fama del que se celebra en Río de Janeiro, ha ganado en los últimos años cierto brillo, pero sigue sin conseguir disparar en las preferencias de los brasileños y, mucho menos, de los turistas.
Postion	Tokenization
1	El
2	carnaval
3	de
4	Sao
5	Paulo
6	,
7	sin
8	tener
9	el
10	brillo
11	ni
12	la
13	fama
14	del
15	que
16	se
17	celebra
18	en
19	Río
20	de
21	Janeiro
22	,
23	ha
24	ganado
25	en
26	los
27	últimos
28	años
29	cierto
30	brillo
31	,
32	pero
33	sigue
34	sin
35	conseguir
36	disparar
37	en
38	las
39	preferencias
40	de
41	los
42	brasileños
43	y
44	,
45	mucho
46	menos
47	,
48	de
49	los
50	turistas
51	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	carnaval	NOUN	24	nsubj
3	de	ADP	4	case
4	Sao	PROPN	2	nmod
5	Paulo	PROPN	4	flat
6	,	PUNCT	8	punct
7	sin	ADP	8	mark
8	tener	VERB	2	acl
9	el	DET	10	det
10	brillo	NOUN	8	obj
11	ni	CCONJ	13	cc
12	la	DET	13	det
13	fama	NOUN	10	conj
14	del	ADP	17	mark
15	que	PRON	17	nsubj
16	se	PRON	17	expl:pass
17	celebra	VERB	10	acl
18	en	ADP	19	case
19	Río	PROPN	17	obl
20	de	ADP	21	case
21	Janeiro	PROPN	19	flat
22	,	PUNCT	8	punct
23	ha	AUX	24	aux
24	ganado	VERB	0	root
25	en	ADP	28	case
26	los	DET	28	det
27	últimos	ADJ	28	amod
28	años	NOUN	24	obl
29	cierto	ADJ	30	amod
30	brillo	NOUN	24	obj
31	,	PUNCT	33	punct
32	pero	CCONJ	33	cc
33	sigue	VERB	24	conj
34	sin	ADP	35	mark
35	conseguir	VERB	33	advcl
36	disparar	VERB	35	xcomp
37	en	ADP	39	case
38	las	DET	39	det
39	preferencias	NOUN	35	obl
40	de	ADP	42	case
41	los	DET	42	det
42	brasileños	NOUN	39	nmod
43	y	CCONJ	46	cc
44	,	PUNCT	46	punct
45	mucho	ADV	46	advmod
46	menos	ADV	42	conj
47	,	PUNCT	46	punct
48	de	ADP	46	case
49	los	DET	50	det
50	turistas	NOUN	46	nmod
51	.	PUNCT	24	punct