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:
Su propuesta concreta fue que el Gobierno levantara el actual veto a una mesa vasca de partidos que incorpore tanto al PP como a EH.
Postion	Tokenization
1	Su
2	propuesta
3	concreta
4	fue
5	que
6	el
7	Gobierno
8	levantara
9	el
10	actual
11	veto
12	a
13	una
14	mesa
15	vasca
16	de
17	partidos
18	que
19	incorpore
20	tanto
21	al
22	PP
23	como
24	a
25	EH
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Su	DET	2	det
2	propuesta	NOUN	4	nsubj
3	concreta	ADJ	2	amod
4	fue	AUX	0	root
5	que	SCONJ	8	mark
6	el	DET	7	det
7	Gobierno	PROPN	8	nsubj
8	levantara	VERB	4	ccomp
9	el	DET	11	det
10	actual	ADJ	11	amod
11	veto	NOUN	8	obj
12	a	ADP	14	case
13	una	DET	14	det
14	mesa	NOUN	11	nmod
15	vasca	ADJ	14	amod
16	de	ADP	17	case
17	partidos	NOUN	14	nmod
18	que	PRON	19	nsubj
19	incorpore	VERB	14	acl
20	tanto	ADV	22	cc
21	al	ADP	22	case
22	PP	PROPN	19	obj
23	como	SCONJ	25	cc
24	a	ADP	25	case
25	EH	PROPN	22	conj
26	.	PUNCT	4	punct