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:
Las autoridades de Río de Janeiro criticaron hoy el carnaval de la ciudad de Sao Paulo y desataron una inesperada polémica que reavivó la enorme rivalidad que existe entre las dos principales ciudades de Brasil.
Postion	Tokenization
1	Las
2	autoridades
3	de
4	Río
5	de
6	Janeiro
7	criticaron
8	hoy
9	el
10	carnaval
11	de
12	la
13	ciudad
14	de
15	Sao
16	Paulo
17	y
18	desataron
19	una
20	inesperada
21	polémica
22	que
23	reavivó
24	la
25	enorme
26	rivalidad
27	que
28	existe
29	entre
30	las
31	dos
32	principales
33	ciudades
34	de
35	Brasil
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	autoridades	NOUN	7	nsubj
3	de	ADP	4	case
4	Río	PROPN	2	nmod
5	de	ADP	6	case
6	Janeiro	PROPN	4	flat
7	criticaron	VERB	0	root
8	hoy	ADV	7	advmod
9	el	DET	10	det
10	carnaval	NOUN	7	obj
11	de	ADP	13	case
12	la	DET	13	det
13	ciudad	NOUN	10	nmod
14	de	ADP	15	case
15	Sao	PROPN	13	nmod
16	Paulo	PROPN	15	flat
17	y	CCONJ	18	cc
18	desataron	VERB	7	conj
19	una	DET	21	det
20	inesperada	ADJ	21	amod
21	polémica	NOUN	18	obj
22	que	PRON	23	nsubj
23	reavivó	VERB	21	acl
24	la	DET	26	det
25	enorme	ADJ	26	amod
26	rivalidad	NOUN	23	obj
27	que	PRON	28	nsubj
28	existe	VERB	26	acl
29	entre	ADP	33	case
30	las	DET	33	det
31	dos	NUM	30	nummod
32	principales	ADJ	33	amod
33	ciudades	NOUN	28	obl
34	de	ADP	35	case
35	Brasil	PROPN	33	nmod
36	.	PUNCT	7	punct