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:
Sin embargo, para estudios de formación de la construcción, sector donde más oferta de empleo existe, sólo hay 172 alumnos matriculados en la CAV.
Postion	Tokenization
1	Sin
2	embargo
3	,
4	para
5	estudios
6	de
7	formación
8	de
9	la
10	construcción
11	,
12	sector
13	donde
14	más
15	oferta
16	de
17	empleo
18	existe
19	,
20	sólo
21	hay
22	172
23	alumnos
24	matriculados
25	en
26	la
27	CAV
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Sin	ADP	21	advmod
2	embargo	NOUN	1	fixed
3	,	PUNCT	1	punct
4	para	ADP	5	case
5	estudios	NOUN	21	obl
6	de	ADP	7	case
7	formación	NOUN	5	nmod
8	de	ADP	10	case
9	la	DET	10	det
10	construcción	NOUN	7	nmod
11	,	PUNCT	12	punct
12	sector	NOUN	10	appos
13	donde	PRON	18	obl
14	más	ADV	15	advmod
15	oferta	NOUN	18	nsubj
16	de	ADP	17	case
17	empleo	NOUN	15	nmod
18	existe	VERB	12	acl
19	,	PUNCT	12	punct
20	sólo	ADV	21	advmod
21	hay	AUX	0	root
22	172	NUM	23	nummod
23	alumnos	NOUN	21	obj
24	matriculados	ADJ	23	amod
25	en	ADP	27	case
26	la	DET	27	det
27	CAV	PROPN	24	obl
28	.	PUNCT	21	punct