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:
¿Qué tendrán los gallegos bonaerenses, si los italianos emigrados mueren a la misma edad que sus parientes que no se movieron de Nápoles?.
Postion	Tokenization
1	¿
2	Qué
3	tendrán
4	los
5	gallegos
6	bonaerenses
7	,
8	si
9	los
10	italianos
11	emigrados
12	mueren
13	a
14	la
15	misma
16	edad
17	que
18	sus
19	parientes
20	que
21	no
22	se
23	movieron
24	de
25	Nápoles
26	?
27	.
Position	Tokenization	UPOS	Head	Deprel
1	¿	PUNCT	3	punct
2	Qué	PRON	3	obj
3	tendrán	VERB	0	root
4	los	DET	5	det
5	gallegos	NOUN	3	nsubj
6	bonaerenses	ADJ	5	amod
7	,	PUNCT	12	punct
8	si	SCONJ	12	mark
9	los	DET	10	det
10	italianos	NOUN	12	nsubj
11	emigrados	ADJ	10	amod
12	mueren	VERB	3	advcl
13	a	ADP	16	case
14	la	DET	16	det
15	misma	DET	14	det
16	edad	NOUN	12	obl
17	que	SCONJ	19	mark
18	sus	DET	19	det
19	parientes	NOUN	16	nmod
20	que	PRON	23	nsubj
21	no	ADV	23	advmod
22	se	PRON	23	expl:pv
23	movieron	VERB	19	acl
24	de	ADP	25	case
25	Nápoles	PROPN	23	obl
26	?	PUNCT	3	punct
27	.	PUNCT	3	punct