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 Móviles, cuyo beneficio neto creció el 44,2% y las filiales latinoamericanas, con un alza del 37,1% de las ventas, fueron los motores indiscutibles de la operadora, que se consolidó como apuesta estratégica de la compañía española, al conseguir entre ambas más de la mitad de los ingresos y de los beneficios.
Postion	Tokenization
1	Telefónica
2	Móviles
3	,
4	cuyo
5	beneficio
6	neto
7	creció
8	el
9	44,2%
10	y
11	las
12	filiales
13	latinoamericanas
14	,
15	con
16	un
17	alza
18	del
19	37,1%
20	de
21	las
22	ventas
23	,
24	fueron
25	los
26	motores
27	indiscutibles
28	de
29	la
30	operadora
31	,
32	que
33	se
34	consolidó
35	como
36	apuesta
37	estratégica
38	de
39	la
40	compañía
41	española
42	,
43	al
44	conseguir
45	entre
46	ambas
47	más
48	de
49	la
50	mitad
51	de
52	los
53	ingresos
54	y
55	de
56	los
57	beneficios
58	.
Position	Tokenization	UPOS	Head	Deprel
1	Telefónica	PROPN	26	nsubj
2	Móviles	PROPN	1	flat
3	,	PUNCT	7	punct
4	cuyo	PRON	5	nmod
5	beneficio	NOUN	7	nsubj
6	neto	ADJ	5	amod
7	creció	VERB	1	acl
8	el	DET	9	det
9	44,2%	SYM	7	obj
10	y	CCONJ	12	cc
11	las	DET	12	det
12	filiales	NOUN	1	conj
13	latinoamericanas	ADJ	12	amod
14	,	PUNCT	17	punct
15	con	ADP	17	case
16	un	DET	17	det
17	alza	NOUN	12	nmod
18	del	ADP	19	case
19	37,1%	SYM	17	nmod
20	de	ADP	22	case
21	las	DET	22	det
22	ventas	NOUN	19	nmod
23	,	PUNCT	17	punct
24	fueron	AUX	26	cop
25	los	DET	26	det
26	motores	NOUN	0	root
27	indiscutibles	ADJ	26	amod
28	de	ADP	30	case
29	la	DET	30	det
30	operadora	NOUN	26	nmod
31	,	PUNCT	34	punct
32	que	PRON	34	nsubj
33	se	PRON	34	expl:pv
34	consolidó	VERB	30	acl
35	como	SCONJ	36	mark
36	apuesta	NOUN	34	obl
37	estratégica	ADJ	36	amod
38	de	ADP	40	case
39	la	DET	40	det
40	compañía	NOUN	36	nmod
41	española	ADJ	40	amod
42	,	PUNCT	44	punct
43	al	ADP	44	mark
44	conseguir	VERB	34	advcl
45	entre	ADP	46	case
46	ambas	NUM	44	obl
47	más	ADV	49	advmod
48	de	ADP	49	case
49	la	DET	50	det
50	mitad	NOUN	44	obj
51	de	ADP	53	case
52	los	DET	53	det
53	ingresos	NOUN	50	nmod
54	y	CCONJ	57	cc
55	de	ADP	57	case
56	los	DET	57	det
57	beneficios	NOUN	53	conj
58	.	PUNCT	26	punct