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:
La circunstancia de que el 80% de los turistas que lleguen a Catalunya lo hagan por carretera restará trascendencia a los problemas aeroportuarios, según el conseller de Indústria, Antoni Subirà.
Postion	Tokenization
1	La
2	circunstancia
3	de
4	que
5	el
6	80%
7	de
8	los
9	turistas
10	que
11	lleguen
12	a
13	Catalunya
14	lo
15	hagan
16	por
17	carretera
18	restará
19	trascendencia
20	a
21	los
22	problemas
23	aeroportuarios
24	,
25	según
26	el
27	conseller
28	de
29	Indústria
30	,
31	Antoni
32	Subirà
33	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	circunstancia	NOUN	18	nsubj
3	de	ADP	15	mark
4	que	SCONJ	15	mark
5	el	DET	6	det
6	80%	SYM	15	nsubj
7	de	ADP	9	case
8	los	DET	9	det
9	turistas	NOUN	6	nmod
10	que	PRON	11	nsubj
11	lleguen	VERB	9	acl
12	a	ADP	13	case
13	Catalunya	PROPN	11	obl
14	lo	PRON	15	obj
15	hagan	VERB	2	acl
16	por	ADP	17	case
17	carretera	NOUN	15	obl
18	restará	VERB	0	root
19	trascendencia	NOUN	18	obj
20	a	ADP	22	case
21	los	DET	22	det
22	problemas	NOUN	18	obj
23	aeroportuarios	ADJ	22	amod
24	,	PUNCT	27	punct
25	según	ADP	27	case
26	el	DET	27	det
27	conseller	NOUN	18	obl
28	de	ADP	29	case
29	Indústria	PROPN	27	nmod
30	,	PUNCT	31	punct
31	Antoni	PROPN	27	appos
32	Subirà	PROPN	31	flat
33	.	PUNCT	18	punct