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:
El estudio desvela que, por cada estudiante de FP hay tres universitarios, un 45 por ciento de los cuales cursan carreras con muy pocas salidas laborales.
Postion	Tokenization
1	El
2	estudio
3	desvela
4	que
5	,
6	por
7	cada
8	estudiante
9	de
10	FP
11	hay
12	tres
13	universitarios
14	,
15	un
16	45
17	por
18	ciento
19	de
20	los
21	cuales
22	cursan
23	carreras
24	con
25	muy
26	pocas
27	salidas
28	laborales
29	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	estudio	NOUN	3	nsubj
3	desvela	VERB	0	root
4	que	SCONJ	11	mark
5	,	PUNCT	11	punct
6	por	ADP	8	case
7	cada	DET	8	det
8	estudiante	NOUN	11	obl
9	de	ADP	10	case
10	FP	PROPN	8	nmod
11	hay	AUX	3	ccomp
12	tres	NUM	13	nummod
13	universitarios	NOUN	11	obj
14	,	PUNCT	22	punct
15	un	DET	16	det
16	45	NUM	22	nsubj
17	por	ADP	18	case
18	ciento	NUM	16	compound
19	de	ADP	21	case
20	los	DET	21	det
21	cuales	PRON	16	nmod
22	cursan	VERB	13	acl
23	carreras	NOUN	22	obj
24	con	ADP	27	case
25	muy	ADV	26	advmod
26	pocas	DET	27	det
27	salidas	NOUN	23	nmod
28	laborales	ADJ	27	amod
29	.	PUNCT	3	punct