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:
Mientras, los teléfonos de los brasileños no han dejado de sonar estos días, con largas conversaciones entre Djalminha, Donato, Flávio y Mauro Silva, por un lado, y Rivaldo y Anderson por otro.
Postion	Tokenization
1	Mientras
2	,
3	los
4	teléfonos
5	de
6	los
7	brasileños
8	no
9	han
10	dejado
11	de
12	sonar
13	estos
14	días
15	,
16	con
17	largas
18	conversaciones
19	entre
20	Djalminha
21	,
22	Donato
23	,
24	Flávio
25	y
26	Mauro
27	Silva
28	,
29	por
30	un
31	lado
32	,
33	y
34	Rivaldo
35	y
36	Anderson
37	por
38	otro
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Mientras	SCONJ	10	mark
2	,	PUNCT	10	punct
3	los	DET	4	det
4	teléfonos	NOUN	10	nsubj
5	de	ADP	7	case
6	los	DET	7	det
7	brasileños	NOUN	4	nmod
8	no	ADV	10	advmod
9	han	AUX	10	aux
10	dejado	VERB	0	root
11	de	ADP	12	mark
12	sonar	VERB	10	xcomp
13	estos	DET	14	det
14	días	NOUN	10	obl
15	,	PUNCT	18	punct
16	con	ADP	18	case
17	largas	ADJ	18	amod
18	conversaciones	NOUN	10	obl
19	entre	ADP	20	case
20	Djalminha	PROPN	18	nmod
21	,	PUNCT	22	punct
22	Donato	PROPN	20	conj
23	,	PUNCT	24	punct
24	Flávio	PROPN	20	conj
25	y	CCONJ	26	cc
26	Mauro	PROPN	20	conj
27	Silva	PROPN	26	flat
28	,	PUNCT	31	punct
29	por	ADP	31	case
30	un	DET	31	det
31	lado	NOUN	20	nmod
32	,	PUNCT	34	punct
33	y	CCONJ	34	cc
34	Rivaldo	PROPN	20	conj
35	y	CCONJ	36	cc
36	Anderson	PROPN	34	conj
37	por	ADP	38	case
38	otro	PRON	34	nmod
39	.	PUNCT	10	punct