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:
Este nuevo boom se producirá pese a los problemas en el tráfico aéreo y al seguro descenso de turistas rusos, que probablemente reducirá el número de visitantes de esa procedencia a los 280.000.
Postion	Tokenization
1	Este
2	nuevo
3	boom
4	se
5	producirá
6	pese
7	a
8	los
9	problemas
10	en
11	el
12	tráfico
13	aéreo
14	y
15	al
16	seguro
17	descenso
18	de
19	turistas
20	rusos
21	,
22	que
23	probablemente
24	reducirá
25	el
26	número
27	de
28	visitantes
29	de
30	esa
31	procedencia
32	a
33	los
34	280.000
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Este	DET	3	det
2	nuevo	ADJ	3	amod
3	boom	NOUN	5	nsubj
4	se	PRON	5	expl:pv
5	producirá	VERB	0	root
6	pese	NOUN	9	case
7	a	ADP	6	fixed
8	los	DET	9	det
9	problemas	NOUN	5	obl
10	en	ADP	12	case
11	el	DET	12	det
12	tráfico	NOUN	9	nmod
13	aéreo	ADJ	12	amod
14	y	CCONJ	17	cc
15	al	ADP	17	case
16	seguro	ADJ	17	amod
17	descenso	NOUN	9	conj
18	de	ADP	19	case
19	turistas	NOUN	17	nmod
20	rusos	ADJ	19	amod
21	,	PUNCT	24	punct
22	que	PRON	24	nsubj
23	probablemente	ADV	24	advmod
24	reducirá	VERB	17	acl
25	el	DET	26	det
26	número	NOUN	24	obj
27	de	ADP	28	case
28	visitantes	NOUN	26	nmod
29	de	ADP	31	case
30	esa	DET	31	det
31	procedencia	NOUN	28	nmod
32	a	ADP	34	case
33	los	DET	34	det
34	280.000	NUM	24	obl
35	.	PUNCT	5	punct