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:
Hagamos las cuentas: ¿tan grave y oneroso es ese viraje hacia el progreso que los vecinos de Llagostera solicitan?.
Postion	Tokenization
1	Hagamos
2	las
3	cuentas
4	:
5	¿
6	tan
7	grave
8	y
9	oneroso
10	es
11	ese
12	viraje
13	hacia
14	el
15	progreso
16	que
17	los
18	vecinos
19	de
20	Llagostera
21	solicitan
22	?
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Hagamos	VERB	0	root
2	las	DET	3	det
3	cuentas	NOUN	1	obj
4	:	PUNCT	7	punct
5	¿	PUNCT	7	punct
6	tan	ADV	7	advmod
7	grave	ADJ	1	advcl
8	y	CCONJ	9	cc
9	oneroso	ADJ	7	conj
10	es	AUX	7	cop
11	ese	DET	12	det
12	viraje	NOUN	7	nsubj
13	hacia	ADP	15	case
14	el	DET	15	det
15	progreso	NOUN	12	nmod
16	que	PRON	21	obj
17	los	DET	18	det
18	vecinos	NOUN	21	nsubj
19	de	ADP	20	case
20	Llagostera	PROPN	18	nmod
21	solicitan	VERB	12	acl
22	?	PUNCT	1	punct
23	.	PUNCT	1	punct