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:
Me preguntan: ¿Qué os pasa ahora con esto de los MIR?, ¿quién tiene la razón en esta polémica?, ¿cuál es tu opinión? Y constato inmediatamente que la población no conoce bien el problema.
Postion	Tokenization
1	Me
2	preguntan
3	:
4	¿
5	Qué
6	os
7	pasa
8	ahora
9	con
10	esto
11	de
12	los
13	MIR
14	?
15	,
16	¿
17	quién
18	tiene
19	la
20	razón
21	en
22	esta
23	polémica
24	?
25	,
26	¿
27	cuál
28	es
29	tu
30	opinión
31	?
32	Y
33	constato
34	inmediatamente
35	que
36	la
37	población
38	no
39	conoce
40	bien
41	el
42	problema
43	.
Position	Tokenization	UPOS	Head	Deprel
1	Me	PRON	2	iobj
2	preguntan	VERB	0	root
3	:	PUNCT	7	punct
4	¿	PUNCT	7	punct
5	Qué	PRON	7	nsubj
6	os	PRON	7	iobj
7	pasa	VERB	2	ccomp
8	ahora	ADV	7	advmod
9	con	ADP	10	case
10	esto	PRON	7	obl
11	de	ADP	13	case
12	los	DET	13	det
13	MIR	PROPN	10	nmod
14	?	PUNCT	7	punct
15	,	PUNCT	7	punct
16	¿	PUNCT	18	punct
17	quién	PRON	18	nsubj
18	tiene	VERB	7	advcl
19	la	DET	20	det
20	razón	NOUN	18	obj
21	en	ADP	23	case
22	esta	DET	23	det
23	polémica	NOUN	18	obl
24	?	PUNCT	18	punct
25	,	PUNCT	7	punct
26	¿	PUNCT	30	punct
27	cuál	PRON	30	nsubj
28	es	AUX	30	cop
29	tu	DET	30	det
30	opinión	NOUN	7	advcl
31	?	PUNCT	30	punct
32	Y	CCONJ	33	cc
33	constato	VERB	2	conj
34	inmediatamente	ADV	33	advmod
35	que	SCONJ	39	mark
36	la	DET	37	det
37	población	NOUN	39	nsubj
38	no	ADV	39	advmod
39	conoce	VERB	33	ccomp
40	bien	ADV	39	advmod
41	el	DET	42	det
42	problema	NOUN	39	obj
43	.	PUNCT	2	punct