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:
La firma sube en bolsa el 7,4% pese a que sus beneficios han bajado el 3% Telefónica Móviles y Latinoamérica concentran la mitad de las ganancias.
Postion	Tokenization
1	La
2	firma
3	sube
4	en
5	bolsa
6	el
7	7,4%
8	pese
9	a
10	que
11	sus
12	beneficios
13	han
14	bajado
15	el
16	3%
17	Telefónica
18	Móviles
19	y
20	Latinoamérica
21	concentran
22	la
23	mitad
24	de
25	las
26	ganancias
27	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	firma	NOUN	3	nsubj
3	sube	VERB	0	root
4	en	ADP	5	case
5	bolsa	NOUN	3	obl
6	el	DET	7	det
7	7,4%	SYM	3	obj
8	pese	NOUN	14	mark
9	a	ADP	8	fixed
10	que	SCONJ	8	fixed
11	sus	DET	12	det
12	beneficios	NOUN	14	nsubj
13	han	AUX	14	aux
14	bajado	VERB	3	advcl
15	el	DET	16	det
16	3%	SYM	14	obj
17	Telefónica	PROPN	21	nsubj
18	Móviles	PROPN	17	flat
19	y	CCONJ	20	cc
20	Latinoamérica	PROPN	17	conj
21	concentran	VERB	3	parataxis
22	la	DET	23	det
23	mitad	NOUN	21	obj
24	de	ADP	26	case
25	las	DET	26	det
26	ganancias	NOUN	23	nmod
27	.	PUNCT	3	punct