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:
¿Cómo podrán los ciudadanos y ciudadanas creer que existe otra forma de hacer política y tener confianza en sus representantes si adoptamos la descalificación personal como norma?.
Postion	Tokenization
1	¿
2	Cómo
3	podrán
4	los
5	ciudadanos
6	y
7	ciudadanas
8	creer
9	que
10	existe
11	otra
12	forma
13	de
14	hacer
15	política
16	y
17	tener
18	confianza
19	en
20	sus
21	representantes
22	si
23	adoptamos
24	la
25	descalificación
26	personal
27	como
28	norma
29	?
30	.
Position	Tokenization	UPOS	Head	Deprel
1	¿	PUNCT	8	punct
2	Cómo	PRON	8	obl
3	podrán	AUX	8	aux
4	los	DET	5	det
5	ciudadanos	NOUN	8	nsubj
6	y	CCONJ	7	cc
7	ciudadanas	NOUN	5	conj
8	creer	VERB	0	root
9	que	SCONJ	10	mark
10	existe	VERB	8	ccomp
11	otra	DET	12	det
12	forma	NOUN	10	nsubj
13	de	ADP	14	mark
14	hacer	VERB	12	acl
15	política	NOUN	14	obj
16	y	CCONJ	17	cc
17	tener	VERB	14	conj
18	confianza	NOUN	17	obj
19	en	ADP	21	case
20	sus	DET	21	det
21	representantes	NOUN	18	nmod
22	si	SCONJ	23	mark
23	adoptamos	VERB	8	advcl
24	la	DET	25	det
25	descalificación	NOUN	23	obj
26	personal	ADJ	25	amod
27	como	SCONJ	28	mark
28	norma	NOUN	23	obl
29	?	PUNCT	8	punct
30	.	PUNCT	8	punct