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 los tres primeros meses del año, los ingresos netos por turismo han sido de 793.000 millones, un 15% más que en 1998.
Postion	Tokenization
1	En
2	los
3	tres
4	primeros
5	meses
6	del
7	año
8	,
9	los
10	ingresos
11	netos
12	por
13	turismo
14	han
15	sido
16	de
17	793.000
18	millones
19	,
20	un
21	15%
22	más
23	que
24	en
25	1998
26	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	5	case
2	los	DET	5	det
3	tres	NUM	2	nummod
4	primeros	ADJ	5	amod
5	meses	NOUN	18	obl
6	del	ADP	7	case
7	año	NOUN	5	nmod
8	,	PUNCT	5	punct
9	los	DET	10	det
10	ingresos	NOUN	18	nsubj
11	netos	ADJ	10	amod
12	por	ADP	13	case
13	turismo	NOUN	10	nmod
14	han	AUX	18	aux
15	sido	AUX	18	cop
16	de	ADP	18	case
17	793.000	NUM	18	nummod
18	millones	NOUN	0	root
19	,	PUNCT	21	punct
20	un	DET	21	det
21	15%	SYM	18	appos
22	más	ADV	21	advmod
23	que	SCONJ	25	mark
24	en	ADP	25	case
25	1998	NOUN	21	obl
26	.	PUNCT	18	punct