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 es feo, muy feo", dijo hoy el alcalde de Río de Janeiro, Luis Paulo Conde, en una conversación informal con periodistas cariocas, y encendió la polémica.
Postion	Tokenization
1	"
2	El
3	carnaval
4	de
5	Sao
6	Paulo
7	es
8	feo
9	,
10	muy
11	feo
12	"
13	,
14	dijo
15	hoy
16	el
17	alcalde
18	de
19	Río
20	de
21	Janeiro
22	,
23	Luis
24	Paulo
25	Conde
26	,
27	en
28	una
29	conversación
30	informal
31	con
32	periodistas
33	cariocas
34	,
35	y
36	encendió
37	la
38	polémica
39	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	8	punct
2	El	DET	3	det
3	carnaval	NOUN	8	nsubj
4	de	ADP	5	case
5	Sao	PROPN	3	nmod
6	Paulo	PROPN	5	flat
7	es	AUX	8	cop
8	feo	ADJ	14	ccomp
9	,	PUNCT	11	punct
10	muy	ADV	11	advmod
11	feo	ADJ	8	amod
12	"	PUNCT	8	punct
13	,	PUNCT	8	punct
14	dijo	VERB	0	root
15	hoy	ADV	14	advmod
16	el	DET	17	det
17	alcalde	NOUN	14	nsubj
18	de	ADP	19	case
19	Río	PROPN	17	nmod
20	de	ADP	21	case
21	Janeiro	PROPN	19	flat
22	,	PUNCT	23	punct
23	Luis	PROPN	17	appos
24	Paulo	PROPN	23	flat
25	Conde	PROPN	23	flat
26	,	PUNCT	23	punct
27	en	ADP	29	case
28	una	DET	29	det
29	conversación	NOUN	14	obl
30	informal	ADJ	29	amod
31	con	ADP	32	case
32	periodistas	NOUN	29	nmod
33	cariocas	ADJ	32	amod
34	,	PUNCT	36	punct
35	y	CCONJ	36	cc
36	encendió	VERB	14	conj
37	la	DET	38	det
38	polémica	NOUN	36	obj
39	.	PUNCT	14	punct