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:
También muchos habitantes de la periferia se trasladaron hasta el antiguo capitolio de los Césares para despedir a uno de los últimos mitos de la escena y del cine italianos.
Postion	Tokenization
1	También
2	muchos
3	habitantes
4	de
5	la
6	periferia
7	se
8	trasladaron
9	hasta
10	el
11	antiguo
12	capitolio
13	de
14	los
15	Césares
16	para
17	despedir
18	a
19	uno
20	de
21	los
22	últimos
23	mitos
24	de
25	la
26	escena
27	y
28	del
29	cine
30	italianos
31	.
Position	Tokenization	UPOS	Head	Deprel
1	También	ADV	8	advmod
2	muchos	DET	3	det
3	habitantes	NOUN	8	nsubj
4	de	ADP	6	case
5	la	DET	6	det
6	periferia	NOUN	3	nmod
7	se	PRON	8	expl:pv
8	trasladaron	VERB	0	root
9	hasta	ADP	12	case
10	el	DET	12	det
11	antiguo	ADJ	12	amod
12	capitolio	NOUN	8	obl
13	de	ADP	15	case
14	los	DET	15	det
15	Césares	PROPN	12	nmod
16	para	ADP	17	mark
17	despedir	VERB	8	advcl
18	a	ADP	19	case
19	uno	PRON	17	obj
20	de	ADP	23	case
21	los	DET	23	det
22	últimos	ADJ	23	amod
23	mitos	NOUN	19	nmod
24	de	ADP	26	case
25	la	DET	26	det
26	escena	NOUN	23	nmod
27	y	CCONJ	29	cc
28	del	ADP	29	case
29	cine	NOUN	26	conj
30	italianos	ADJ	23	amod
31	.	PUNCT	8	punct