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:
Hasta el momento de su compra por Telefónica, Ceterp, que actúa únicamente en la ciudad de Ribeirao Preto, de cerca de 500.000 habitantes, era la única operadora independiente de telefonía del estado de Sao Paulo.
Postion	Tokenization
1	Hasta
2	el
3	momento
4	de
5	su
6	compra
7	por
8	Telefónica
9	,
10	Ceterp
11	,
12	que
13	actúa
14	únicamente
15	en
16	la
17	ciudad
18	de
19	Ribeirao
20	Preto
21	,
22	de
23	cerca
24	de
25	500.000
26	habitantes
27	,
28	era
29	la
30	única
31	operadora
32	independiente
33	de
34	telefonía
35	del
36	estado
37	de
38	Sao
39	Paulo
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Hasta	ADP	3	case
2	el	DET	3	det
3	momento	NOUN	31	obl
4	de	ADP	6	case
5	su	DET	6	det
6	compra	NOUN	3	nmod
7	por	ADP	8	case
8	Telefónica	PROPN	6	nmod
9	,	PUNCT	3	punct
10	Ceterp	PROPN	31	nsubj
11	,	PUNCT	13	punct
12	que	PRON	13	nsubj
13	actúa	VERB	10	acl
14	únicamente	ADV	13	advmod
15	en	ADP	14	case
16	la	DET	17	det
17	ciudad	NOUN	14	nmod
18	de	ADP	19	case
19	Ribeirao	PROPN	17	nmod
20	Preto	PROPN	19	flat
21	,	PUNCT	26	punct
22	de	ADP	26	case
23	cerca	ADV	26	advmod
24	de	ADP	23	case
25	500.000	NUM	23	nummod
26	habitantes	NOUN	19	nmod
27	,	PUNCT	26	punct
28	era	AUX	31	cop
29	la	DET	31	det
30	única	ADJ	31	amod
31	operadora	NOUN	0	root
32	independiente	ADJ	31	amod
33	de	ADP	34	case
34	telefonía	NOUN	31	nmod
35	del	ADP	36	case
36	estado	NOUN	31	nmod
37	de	ADP	38	case
38	Sao	PROPN	36	nmod
39	Paulo	PROPN	38	flat
40	.	PUNCT	31	punct