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:
Para cuestiones que afectan a más de una autonomía (como la financiación), el presidente andaluz pide menos reuniones bilaterales y más discusión de todos en búsqueda de amplios consensos.
Postion	Tokenization
1	Para
2	cuestiones
3	que
4	afectan
5	a
6	más
7	de
8	una
9	autonomía
10	(
11	como
12	la
13	financiación
14	)
15	,
16	el
17	presidente
18	andaluz
19	pide
20	menos
21	reuniones
22	bilaterales
23	y
24	más
25	discusión
26	de
27	todos
28	en
29	búsqueda
30	de
31	amplios
32	consensos
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Para	ADP	2	case
2	cuestiones	NOUN	19	obl
3	que	PRON	4	nsubj
4	afectan	VERB	2	acl
5	a	ADP	9	case
6	más	ADV	8	advmod
7	de	ADP	8	case
8	una	DET	9	det
9	autonomía	NOUN	4	obj
10	(	PUNCT	13	punct
11	como	SCONJ	13	mark
12	la	DET	13	det
13	financiación	NOUN	4	obl
14	)	PUNCT	13	punct
15	,	PUNCT	2	punct
16	el	DET	17	det
17	presidente	NOUN	19	nsubj
18	andaluz	ADJ	17	amod
19	pide	VERB	0	root
20	menos	ADV	21	advmod
21	reuniones	NOUN	19	obj
22	bilaterales	ADJ	21	amod
23	y	CCONJ	25	cc
24	más	ADV	25	advmod
25	discusión	NOUN	21	conj
26	de	ADP	27	case
27	todos	PRON	25	nmod
28	en	ADP	32	case
29	búsqueda	NOUN	28	fixed
30	de	ADP	28	fixed
31	amplios	ADJ	32	amod
32	consensos	NOUN	19	obl
33	.	PUNCT	19	punct