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:
Maragall propondrá al president la búsqueda de un consenso sobre el modelo de fiscal que incluya también una propuesta para solucionar el problema de la financiación de los ayuntamientos.
Postion	Tokenization
1	Maragall
2	propondrá
3	al
4	president
5	la
6	búsqueda
7	de
8	un
9	consenso
10	sobre
11	el
12	modelo
13	de
14	fiscal
15	que
16	incluya
17	también
18	una
19	propuesta
20	para
21	solucionar
22	el
23	problema
24	de
25	la
26	financiación
27	de
28	los
29	ayuntamientos
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Maragall	PROPN	2	nsubj
2	propondrá	VERB	0	root
3	al	ADP	4	case
4	president	NOUN	2	obj
5	la	DET	6	det
6	búsqueda	NOUN	2	obj
7	de	ADP	9	case
8	un	DET	9	det
9	consenso	NOUN	6	nmod
10	sobre	ADP	12	case
11	el	DET	12	det
12	modelo	NOUN	9	nmod
13	de	ADP	14	case
14	fiscal	NOUN	12	nmod
15	que	PRON	16	nsubj
16	incluya	VERB	9	acl
17	también	ADV	16	advmod
18	una	DET	19	det
19	propuesta	NOUN	16	obj
20	para	ADP	21	mark
21	solucionar	VERB	19	acl
22	el	DET	23	det
23	problema	NOUN	21	obj
24	de	ADP	26	case
25	la	DET	26	det
26	financiación	NOUN	23	nmod
27	de	ADP	29	case
28	los	DET	29	det
29	ayuntamientos	NOUN	26	nmod
30	.	PUNCT	2	punct