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:
Las comisiones netas por servicios aumentaron un 6,17% hasta 3.563 millones, mientras que su resultado por operaciones financieras creció un 99,72% hasta 703 millones.
Postion	Tokenization
1	Las
2	comisiones
3	netas
4	por
5	servicios
6	aumentaron
7	un
8	6,17%
9	hasta
10	3.563
11	millones
12	,
13	mientras
14	que
15	su
16	resultado
17	por
18	operaciones
19	financieras
20	creció
21	un
22	99,72%
23	hasta
24	703
25	millones
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	comisiones	NOUN	6	nsubj
3	netas	ADJ	2	amod
4	por	ADP	5	case
5	servicios	NOUN	2	nmod
6	aumentaron	VERB	13	parataxis
7	un	DET	8	det
8	6,17%	SYM	6	obj
9	hasta	ADP	11	case
10	3.563	NUM	11	nummod
11	millones	NOUN	6	obl
12	,	PUNCT	13	punct
13	mientras	CCONJ	0	root
14	que	SCONJ	13	fixed
15	su	DET	16	det
16	resultado	NOUN	20	nsubj
17	por	ADP	18	case
18	operaciones	NOUN	16	nmod
19	financieras	ADJ	18	amod
20	creció	VERB	13	parataxis
21	un	DET	22	det
22	99,72%	SYM	20	advmod
23	hasta	ADP	25	case
24	703	NUM	25	nummod
25	millones	NOUN	20	obl
26	.	PUNCT	13	punct