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:
Telefónica se vio en la obligación de vender la operadora móvil de Ceterp porque las leyes brasileñas no permiten que una compañía gestione empresas de telefonía fija y móvil celular en la misma área geográfica.
Postion	Tokenization
1	Telefónica
2	se
3	vio
4	en
5	la
6	obligación
7	de
8	vender
9	la
10	operadora
11	móvil
12	de
13	Ceterp
14	porque
15	las
16	leyes
17	brasileñas
18	no
19	permiten
20	que
21	una
22	compañía
23	gestione
24	empresas
25	de
26	telefonía
27	fija
28	y
29	móvil
30	celular
31	en
32	la
33	misma
34	área
35	geográfica
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Telefónica	PROPN	3	nsubj
2	se	PRON	3	obj
3	vio	VERB	0	root
4	en	ADP	6	case
5	la	DET	6	det
6	obligación	NOUN	3	obj
7	de	ADP	8	mark
8	vender	VERB	6	acl
9	la	DET	10	det
10	operadora	NOUN	8	obj
11	móvil	ADJ	10	amod
12	de	ADP	13	case
13	Ceterp	PROPN	10	nmod
14	porque	SCONJ	19	mark
15	las	DET	16	det
16	leyes	NOUN	19	nsubj
17	brasileñas	ADJ	16	amod
18	no	ADV	19	advmod
19	permiten	VERB	3	advcl
20	que	SCONJ	23	mark
21	una	DET	22	det
22	compañía	NOUN	23	nsubj
23	gestione	VERB	19	ccomp
24	empresas	NOUN	23	obj
25	de	ADP	26	case
26	telefonía	NOUN	24	nmod
27	fija	ADJ	26	amod
28	y	CCONJ	29	cc
29	móvil	NOUN	26	conj
30	celular	ADJ	29	amod
31	en	ADP	34	case
32	la	DET	34	det
33	misma	DET	32	det
34	área	NOUN	23	obl
35	geográfica	ADJ	34	amod
36	.	PUNCT	3	punct