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:
- - ¿No se siente frustrado de tener que vivir como un recluso tras haber participado activamente en una revolución que no funcionó? - -
Postion	Tokenization
1	-
2	-
3	¿
4	No
5	se
6	siente
7	frustrado
8	de
9	tener
10	que
11	vivir
12	como
13	un
14	recluso
15	tras
16	haber
17	participado
18	activamente
19	en
20	una
21	revolución
22	que
23	no
24	funcionó
25	?
26	-
27	-
Position	Tokenization	UPOS	Head	Deprel
1	-	PUNCT	6	punct
2	-	PUNCT	6	punct
3	¿	PUNCT	6	punct
4	No	ADV	6	advmod
5	se	PRON	6	expl:pv
6	siente	VERB	0	root
7	frustrado	ADJ	6	obj
8	de	ADP	9	mark
9	tener	VERB	7	advcl
10	que	SCONJ	11	cc
11	vivir	VERB	9	conj
12	como	SCONJ	14	mark
13	un	DET	14	det
14	recluso	NOUN	11	obl
15	tras	ADP	17	mark
16	haber	AUX	17	aux
17	participado	VERB	11	advcl
18	activamente	ADV	17	advmod
19	en	ADP	21	case
20	una	DET	21	det
21	revolución	NOUN	17	obj
22	que	PRON	24	nsubj
23	no	ADV	24	advmod
24	funcionó	VERB	21	acl
25	?	PUNCT	6	punct
26	-	PUNCT	6	punct
27	-	PUNCT	6	punct