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:
La intérprete reside en Brescia (norte de Italia) con el cardiólogo Eugenio Quaini, su marido desde hace 23 años, los mismos que, curiosamente, ha permanecido lejos del escenario.
Postion	Tokenization
1	La
2	intérprete
3	reside
4	en
5	Brescia
6	(
7	norte
8	de
9	Italia
10	)
11	con
12	el
13	cardiólogo
14	Eugenio
15	Quaini
16	,
17	su
18	marido
19	desde
20	hace
21	23
22	años
23	,
24	los
25	mismos
26	que
27	,
28	curiosamente
29	,
30	ha
31	permanecido
32	lejos
33	del
34	escenario
35	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	intérprete	NOUN	3	nsubj
3	reside	VERB	0	root
4	en	ADP	5	case
5	Brescia	PROPN	3	obl
6	(	PUNCT	7	punct
7	norte	NOUN	5	appos
8	de	ADP	9	case
9	Italia	PROPN	7	nmod
10	)	PUNCT	7	punct
11	con	ADP	13	case
12	el	DET	13	det
13	cardiólogo	NOUN	3	obl
14	Eugenio	PROPN	13	appos
15	Quaini	PROPN	14	flat
16	,	PUNCT	18	punct
17	su	DET	18	det
18	marido	NOUN	13	appos
19	desde	ADP	20	mark
20	hace	VERB	18	advcl
21	23	NUM	22	nummod
22	años	NOUN	20	obj
23	,	PUNCT	25	punct
24	los	DET	25	det
25	mismos	PRON	22	appos
26	que	PRON	31	obl
27	,	PUNCT	28	punct
28	curiosamente	ADV	31	advmod
29	,	PUNCT	28	punct
30	ha	AUX	31	aux
31	permanecido	VERB	25	acl
32	lejos	ADV	34	case
33	del	ADP	32	fixed
34	escenario	NOUN	31	obl
35	.	PUNCT	3	punct