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:
"Al sistema le interesan los artistas muy jóvenes para poder manipularlos mejor", señala este cantautor uruguayo que en los años 70 aterrizó a Barcelona y que reside ahora en Madrid.
Postion	Tokenization
1	"
2	Al
3	sistema
4	le
5	interesan
6	los
7	artistas
8	muy
9	jóvenes
10	para
11	poder
12	manipularlos
13	manipular
14	los
15	mejor
16	"
17	,
18	señala
19	este
20	cantautor
21	uruguayo
22	que
23	en
24	los
25	años
26	70
27	aterrizó
28	a
29	Barcelona
30	y
31	que
32	reside
33	ahora
34	en
35	Madrid
36	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	5	punct
2	Al	ADP	3	case
3	sistema	NOUN	5	obj
4	le	PRON	5	obj
5	interesan	VERB	17	ccomp
6	los	DET	7	det
7	artistas	NOUN	5	nsubj
8	muy	ADV	9	advmod
9	jóvenes	ADJ	7	amod
10	para	ADP	12	mark
11	poder	AUX	12	aux
12	manipularlos	_	None	_
13	manipular	VERB	5	advcl
14	los	PRON	12	obj
15	mejor	ADV	12	advmod
16	"	PUNCT	5	punct
17	,	PUNCT	5	punct
18	señala	VERB	0	root
19	este	DET	19	det
20	cantautor	NOUN	17	nsubj
21	uruguayo	ADJ	19	amod
22	que	PRON	26	nsubj
23	en	ADP	24	case
24	los	DET	24	det
25	años	NOUN	26	obl
26	70	NUM	24	compound
27	aterrizó	VERB	19	acl
28	a	ADP	28	case
29	Barcelona	PROPN	26	obl
30	y	CCONJ	31	cc
31	que	PRON	31	nsubj
32	reside	VERB	26	conj
33	ahora	ADV	31	advmod
34	en	ADP	34	case
35	Madrid	PROPN	31	obl
36	.	PUNCT	17	punct