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:
¿Cuántos sindicalistas hay en el PP? ¿Y cuántos providas en las filas del PSC? ¿Y cuántos anticomunistas en Iniciativa?.
Postion	Tokenization
1	¿
2	Cuántos
3	sindicalistas
4	hay
5	en
6	el
7	PP
8	?
9	¿
10	Y
11	cuántos
12	providas
13	en
14	las
15	filas
16	del
17	PSC
18	?
19	¿
20	Y
21	cuántos
22	anticomunistas
23	en
24	Iniciativa
25	?
26	.
Position	Tokenization	UPOS	Head	Deprel
1	¿	PUNCT	4	punct
2	Cuántos	DET	3	det
3	sindicalistas	NOUN	4	obj
4	hay	AUX	0	root
5	en	ADP	7	case
6	el	DET	7	det
7	PP	PROPN	4	obl
8	?	PUNCT	4	punct
9	¿	PUNCT	4	punct
10	Y	CCONJ	22	cc
11	cuántos	DET	12	det
12	providas	NOUN	4	obl
13	en	ADP	15	case
14	las	DET	15	det
15	filas	NOUN	12	nmod
16	del	ADP	17	case
17	PSC	PROPN	15	nmod
18	?	PUNCT	12	punct
19	¿	PUNCT	22	punct
20	Y	CCONJ	22	cc
21	cuántos	DET	22	det
22	anticomunistas	NOUN	4	conj
23	en	ADP	24	case
24	Iniciativa	PROPN	22	nmod
25	?	PUNCT	4	punct
26	.	PUNCT	4	punct