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:
De hecho, el PERI ya contempla que los futuros edificios del sector se alineen con el paseo peatonal de la avenida.
Postion	Tokenization
1	De
2	hecho
3	,
4	el
5	PERI
6	ya
7	contempla
8	que
9	los
10	futuros
11	edificios
12	del
13	sector
14	se
15	alineen
16	con
17	el
18	paseo
19	peatonal
20	de
21	la
22	avenida
23	.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	7	advmod
2	hecho	NOUN	1	fixed
3	,	PUNCT	1	punct
4	el	DET	5	det
5	PERI	PROPN	7	nsubj
6	ya	ADV	7	advmod
7	contempla	VERB	0	root
8	que	SCONJ	15	mark
9	los	DET	11	det
10	futuros	ADJ	11	amod
11	edificios	NOUN	15	nsubj
12	del	ADP	13	case
13	sector	NOUN	11	nmod
14	se	PRON	15	expl:pass
15	alineen	VERB	7	ccomp
16	con	ADP	18	case
17	el	DET	18	det
18	paseo	NOUN	15	obl
19	peatonal	ADJ	18	amod
20	de	ADP	22	case
21	la	DET	22	det
22	avenida	NOUN	18	nmod
23	.	PUNCT	7	punct