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:
En este resultado influyó la reducción de las dotaciones para insolvencias, que cayeron el 50,3%, pasando de 1.510 millones en el primer trimestre de 1998 a 751 millones en el mismo periodo de 1999.
Postion	Tokenization
1	En
2	este
3	resultado
4	influyó
5	la
6	reducción
7	de
8	las
9	dotaciones
10	para
11	insolvencias
12	,
13	que
14	cayeron
15	el
16	50,3%
17	,
18	pasando
19	de
20	1.510
21	millones
22	en
23	el
24	primer
25	trimestre
26	de
27	1998
28	a
29	751
30	millones
31	en
32	el
33	mismo
34	periodo
35	de
36	1999
37	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	este	DET	3	det
3	resultado	NOUN	4	obl
4	influyó	VERB	0	root
5	la	DET	6	det
6	reducción	NOUN	4	nsubj
7	de	ADP	9	case
8	las	DET	9	det
9	dotaciones	NOUN	6	nmod
10	para	ADP	11	case
11	insolvencias	NOUN	9	nmod
12	,	PUNCT	14	punct
13	que	PRON	14	nsubj
14	cayeron	VERB	9	acl
15	el	DET	16	det
16	50,3%	SYM	14	obj
17	,	PUNCT	18	punct
18	pasando	VERB	14	advcl
19	de	ADP	21	case
20	1.510	NUM	21	nummod
21	millones	NOUN	18	obl
22	en	ADP	25	case
23	el	DET	25	det
24	primer	ADJ	25	amod
25	trimestre	NOUN	21	nmod
26	de	ADP	27	case
27	1998	NOUN	25	nmod
28	a	ADP	30	case
29	751	NUM	30	nummod
30	millones	NOUN	18	obl
31	en	ADP	34	case
32	el	DET	34	det
33	mismo	DET	32	det
34	periodo	NOUN	30	nmod
35	de	ADP	36	case
36	1999	NOUN	34	nmod
37	.	PUNCT	4	punct