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:
El objetivo del Gobierno andorrano es regular y coordinar todos los aspectos vinculados con la red viaria del país, que suele colapsarse especialmente durante los fines de semana.
Postion	Tokenization
1	El
2	objetivo
3	del
4	Gobierno
5	andorrano
6	es
7	regular
8	y
9	coordinar
10	todos
11	los
12	aspectos
13	vinculados
14	con
15	la
16	red
17	viaria
18	del
19	país
20	,
21	que
22	suele
23	colapsarse
24	colapsar
25	se
26	especialmente
27	durante
28	los
29	fines
30	de
31	semana
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	objetivo	NOUN	6	nsubj
3	del	ADP	4	case
4	Gobierno	PROPN	2	nmod
5	andorrano	ADJ	4	amod
6	es	AUX	0	root
7	regular	VERB	6	ccomp
8	y	CCONJ	9	cc
9	coordinar	VERB	7	conj
10	todos	DET	11	det
11	los	DET	12	det
12	aspectos	NOUN	7	obj
13	vinculados	ADJ	12	amod
14	con	ADP	16	case
15	la	DET	16	det
16	red	NOUN	13	obj
17	viaria	ADJ	16	amod
18	del	ADP	19	case
19	país	NOUN	16	nmod
20	,	PUNCT	22	punct
21	que	PRON	22	nsubj
22	suele	VERB	16	acl
23	colapsarse	_	None	_
24	colapsar	VERB	22	xcomp
25	se	PRON	23	expl:pv
26	especialmente	ADV	22	advmod
27	durante	ADP	25	case
28	los	DET	28	det
29	fines	NOUN	25	nmod
30	de	ADP	30	case
31	semana	NOUN	28	nmod
32	.	PUNCT	6	punct