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:
Preguntado por la influencia que puede tener en las cuentas municipales la propuesta electoral del PP de que las empresas que ganen menos de tres millones tengan un tipo cero en el Impuesto de Actividades Económicas (IAE), señaló que en las grandes ciudades "no va a tener repercusión".
Postion	Tokenization
1	Preguntado
2	por
3	la
4	influencia
5	que
6	puede
7	tener
8	en
9	las
10	cuentas
11	municipales
12	la
13	propuesta
14	electoral
15	del
16	PP
17	de
18	que
19	las
20	empresas
21	que
22	ganen
23	menos
24	de
25	tres
26	millones
27	tengan
28	un
29	tipo
30	cero
31	en
32	el
33	Impuesto
34	de
35	Actividades
36	Económicas
37	(
38	IAE
39	)
40	,
41	señaló
42	que
43	en
44	las
45	grandes
46	ciudades
47	"
48	no
49	va
50	a
51	tener
52	repercusión
53	"
54	.
Position	Tokenization	UPOS	Head	Deprel
1	Preguntado	ADJ	41	iobj
2	por	ADP	4	case
3	la	DET	4	det
4	influencia	NOUN	1	obj
5	que	PRON	7	obj
6	puede	AUX	7	aux
7	tener	VERB	4	acl
8	en	ADP	10	case
9	las	DET	10	det
10	cuentas	NOUN	7	obl
11	municipales	ADJ	10	amod
12	la	DET	13	det
13	propuesta	NOUN	7	nsubj
14	electoral	ADJ	13	amod
15	del	ADP	16	case
16	PP	PROPN	13	nmod
17	de	ADP	27	mark
18	que	SCONJ	27	mark
19	las	DET	20	det
20	empresas	NOUN	27	nsubj
21	que	PRON	22	nsubj
22	ganen	VERB	20	acl
23	menos	ADV	26	advmod
24	de	ADP	23	case
25	tres	NUM	23	nummod
26	millones	NOUN	22	obj
27	tengan	VERB	13	acl
28	un	DET	29	det
29	tipo	NOUN	27	obj
30	cero	NOUN	29	nmod
31	en	ADP	33	case
32	el	DET	33	det
33	Impuesto	PROPN	27	obl
34	de	ADP	35	case
35	Actividades	PROPN	33	flat
36	Económicas	PROPN	35	flat
37	(	PUNCT	38	punct
38	IAE	PROPN	33	flat
39	)	PUNCT	38	punct
40	,	PUNCT	1	punct
41	señaló	VERB	0	root
42	que	SCONJ	51	mark
43	en	ADP	46	case
44	las	DET	46	det
45	grandes	ADJ	46	amod
46	ciudades	NOUN	51	obl
47	"	PUNCT	51	punct
48	no	ADV	51	advmod
49	va	AUX	51	aux
50	a	ADP	51	mark
51	tener	VERB	41	xcomp
52	repercusión	NOUN	51	obj
53	"	PUNCT	51	punct
54	.	PUNCT	41	punct