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:
Tanto Francisco como muchísimos de sus vecinos han aprovechado la apertura del último tramo de la avenida para recorrerla en automóvil o a pie.
Postion	Tokenization
1	Tanto
2	Francisco
3	como
4	muchísimos
5	de
6	sus
7	vecinos
8	han
9	aprovechado
10	la
11	apertura
12	del
13	último
14	tramo
15	de
16	la
17	avenida
18	para
19	recorrerla
20	recorrer
21	la
22	en
23	automóvil
24	o
25	a
26	pie
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Tanto	ADV	2	cc
2	Francisco	PROPN	9	nsubj
3	como	CCONJ	4	cc
4	muchísimos	PRON	2	conj
5	de	ADP	7	case
6	sus	DET	7	det
7	vecinos	NOUN	4	nmod
8	han	AUX	9	aux
9	aprovechado	VERB	0	root
10	la	DET	11	det
11	apertura	NOUN	9	obj
12	del	ADP	14	case
13	último	ADJ	14	amod
14	tramo	NOUN	11	nmod
15	de	ADP	17	case
16	la	DET	17	det
17	avenida	NOUN	14	nmod
18	para	ADP	19	mark
19	recorrerla	_	None	_
20	recorrer	VERB	9	advcl
21	la	PRON	19	obj
22	en	ADP	22	case
23	automóvil	NOUN	19	obl
24	o	CCONJ	24	cc
25	a	ADP	22	conj
26	pie	NOUN	24	fixed
27	.	PUNCT	9	punct