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:
Según las autoridades de Río de Janeiro, para el carnaval de este año la ciudad recibió a unos 300.000 turistas extranjeros y el doble de nacionales, que en un alto porcentaje procedían del estado de Sao Paulo y, en especial, de la capital provincial del mismo nombre.
Postion	Tokenization
1	Según
2	las
3	autoridades
4	de
5	Río
6	de
7	Janeiro
8	,
9	para
10	el
11	carnaval
12	de
13	este
14	año
15	la
16	ciudad
17	recibió
18	a
19	unos
20	300.000
21	turistas
22	extranjeros
23	y
24	el
25	doble
26	de
27	nacionales
28	,
29	que
30	en
31	un
32	alto
33	porcentaje
34	procedían
35	del
36	estado
37	de
38	Sao
39	Paulo
40	y
41	,
42	en
43	especial
44	,
45	de
46	la
47	capital
48	provincial
49	del
50	mismo
51	nombre
52	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	3	case
2	las	DET	3	det
3	autoridades	NOUN	17	obl
4	de	ADP	5	case
5	Río	PROPN	3	nmod
6	de	ADP	7	case
7	Janeiro	PROPN	5	flat
8	,	PUNCT	3	punct
9	para	ADP	11	case
10	el	DET	11	det
11	carnaval	NOUN	17	obl
12	de	ADP	14	case
13	este	DET	14	det
14	año	NOUN	11	nmod
15	la	DET	16	det
16	ciudad	NOUN	17	nsubj
17	recibió	VERB	0	root
18	a	ADP	21	case
19	unos	PRON	20	nmod
20	300.000	NUM	21	nummod
21	turistas	NOUN	17	obj
22	extranjeros	ADJ	21	amod
23	y	CCONJ	25	cc
24	el	DET	25	det
25	doble	ADJ	21	conj
26	de	ADP	27	case
27	nacionales	ADJ	25	amod
28	,	PUNCT	34	punct
29	que	PRON	34	nsubj
30	en	ADP	33	case
31	un	DET	33	det
32	alto	ADJ	33	amod
33	porcentaje	NOUN	34	obl
34	procedían	VERB	25	advcl
35	del	ADP	36	case
36	estado	NOUN	34	obj
37	de	ADP	38	case
38	Sao	PROPN	36	nmod
39	Paulo	PROPN	38	flat
40	y	CCONJ	42	cc
41	,	PUNCT	42	punct
42	en	ADP	36	conj
43	especial	ADJ	42	fixed
44	,	PUNCT	42	punct
45	de	ADP	42	case
46	la	DET	47	det
47	capital	NOUN	42	nmod
48	provincial	ADJ	47	amod
49	del	ADP	51	case
50	mismo	DET	51	det
51	nombre	NOUN	47	nmod
52	.	PUNCT	17	punct