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:
"Antes la distancia era muy larga, pero ahora coges el coche y en un momento estás en las Glòries", explica.
Postion	Tokenization
1	"
2	Antes
3	la
4	distancia
5	era
6	muy
7	larga
8	,
9	pero
10	ahora
11	coges
12	el
13	coche
14	y
15	en
16	un
17	momento
18	estás
19	en
20	las
21	Glòries
22	"
23	,
24	explica
25	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	7	punct
2	Antes	ADV	7	advmod
3	la	DET	4	det
4	distancia	NOUN	7	nsubj
5	era	AUX	7	cop
6	muy	ADV	7	advmod
7	larga	ADJ	24	ccomp
8	,	PUNCT	11	punct
9	pero	CCONJ	11	cc
10	ahora	ADV	11	advmod
11	coges	VERB	7	conj
12	el	DET	13	det
13	coche	NOUN	11	obj
14	y	CCONJ	18	cc
15	en	ADP	17	case
16	un	DET	17	det
17	momento	NOUN	18	obl
18	estás	VERB	11	conj
19	en	ADP	21	case
20	las	DET	21	det
21	Glòries	PROPN	18	obl
22	"	PUNCT	7	punct
23	,	PUNCT	7	punct
24	explica	VERB	0	root
25	.	PUNCT	24	punct