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:
La ruptura de las negociaciones para renovar el sistema de financiación de Euskadi ha abierto una profunda crisis institucional entre los Gobiernos de Madrid y Vitoria.
Postion	Tokenization
1	La
2	ruptura
3	de
4	las
5	negociaciones
6	para
7	renovar
8	el
9	sistema
10	de
11	financiación
12	de
13	Euskadi
14	ha
15	abierto
16	una
17	profunda
18	crisis
19	institucional
20	entre
21	los
22	Gobiernos
23	de
24	Madrid
25	y
26	Vitoria
27	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	ruptura	NOUN	15	nsubj
3	de	ADP	5	case
4	las	DET	5	det
5	negociaciones	NOUN	2	nmod
6	para	ADP	7	mark
7	renovar	VERB	5	acl
8	el	DET	9	det
9	sistema	NOUN	7	obj
10	de	ADP	11	case
11	financiación	NOUN	9	nmod
12	de	ADP	13	case
13	Euskadi	PROPN	9	nmod
14	ha	AUX	15	aux
15	abierto	VERB	0	root
16	una	DET	18	det
17	profunda	ADJ	18	amod
18	crisis	NOUN	15	obj
19	institucional	ADJ	18	amod
20	entre	ADP	22	case
21	los	DET	22	det
22	Gobiernos	PROPN	18	nmod
23	de	ADP	24	case
24	Madrid	PROPN	22	nmod
25	y	CCONJ	26	cc
26	Vitoria	PROPN	24	conj
27	.	PUNCT	15	punct