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, desde una acera de la rambla de Prim no se podía ver la otra porque había mucha contaminación.
Postion	Tokenization
1	Antes
2	,
3	desde
4	una
5	acera
6	de
7	la
8	rambla
9	de
10	Prim
11	no
12	se
13	podía
14	ver
15	la
16	otra
17	porque
18	había
19	mucha
20	contaminación
21	.
Position	Tokenization	UPOS	Head	Deprel
1	Antes	ADV	14	advmod
2	,	PUNCT	1	punct
3	desde	ADP	5	case
4	una	DET	5	det
5	acera	NOUN	14	obl
6	de	ADP	8	case
7	la	DET	8	det
8	rambla	NOUN	5	nmod
9	de	ADP	10	case
10	Prim	PROPN	8	nmod
11	no	ADV	14	advmod
12	se	PRON	14	expl:pass
13	podía	AUX	14	aux
14	ver	VERB	0	root
15	la	DET	16	det
16	otra	PRON	14	nsubj
17	porque	SCONJ	18	mark
18	había	AUX	14	advcl
19	mucha	DET	20	det
20	contaminación	NOUN	18	obj
21	.	PUNCT	14	punct