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:
Y la niebla de Llagostera se concentra en esta duda: ¿cuánto cuesta desplazar las torres? ¿Cuál es el precio de soterrar la línea?.
Postion	Tokenization
1	Y
2	la
3	niebla
4	de
5	Llagostera
6	se
7	concentra
8	en
9	esta
10	duda
11	:
12	¿
13	cuánto
14	cuesta
15	desplazar
16	las
17	torres
18	?
19	¿
20	Cuál
21	es
22	el
23	precio
24	de
25	soterrar
26	la
27	línea
28	?
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Y	CCONJ	7	advmod
2	la	DET	3	det
3	niebla	NOUN	7	nsubj
4	de	ADP	5	case
5	Llagostera	PROPN	3	nmod
6	se	PRON	7	expl:pass
7	concentra	VERB	0	root
8	en	ADP	10	case
9	esta	DET	10	det
10	duda	NOUN	7	obl
11	:	PUNCT	14	punct
12	¿	PUNCT	14	punct
13	cuánto	PRON	14	obl
14	cuesta	VERB	10	acl
15	desplazar	VERB	14	csubj
16	las	DET	17	det
17	torres	NOUN	15	obj
18	?	PUNCT	14	punct
19	¿	PUNCT	23	punct
20	Cuál	PRON	23	nsubj
21	es	AUX	23	cop
22	el	DET	23	det
23	precio	NOUN	14	advcl
24	de	ADP	25	mark
25	soterrar	VERB	23	acl
26	la	DET	27	det
27	línea	NOUN	25	obj
28	?	PUNCT	7	punct
29	.	PUNCT	7	punct