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:
Pese a este aumento de la facturación, los beneficios netos cayeron el 3% hasta 164.500 millones de pesetas.
Postion	Tokenization
1	Pese
2	a
3	este
4	aumento
5	de
6	la
7	facturación
8	,
9	los
10	beneficios
11	netos
12	cayeron
13	el
14	3%
15	hasta
16	164.500
17	millones
18	de
19	pesetas
20	.
Position	Tokenization	UPOS	Head	Deprel
1	Pese	NOUN	4	case
2	a	ADP	1	fixed
3	este	DET	4	det
4	aumento	NOUN	12	obl
5	de	ADP	7	case
6	la	DET	7	det
7	facturación	NOUN	4	nmod
8	,	PUNCT	4	punct
9	los	DET	10	det
10	beneficios	NOUN	12	nsubj
11	netos	ADJ	10	amod
12	cayeron	VERB	0	root
13	el	DET	14	det
14	3%	SYM	12	obj
15	hasta	ADP	17	case
16	164.500	NUM	17	nummod
17	millones	NOUN	12	obl
18	de	ADP	19	case
19	pesetas	NOUN	17	nmod
20	.	PUNCT	12	punct