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 fórmula que proponen Alemania e Italia cuenta con el apoyo de la mayoría, pues será el único sistema válido para que el veto de un país impida a la UE avanzar en su integración en una política concreta.
Postion	Tokenization
1	La
2	fórmula
3	que
4	proponen
5	Alemania
6	e
7	Italia
8	cuenta
9	con
10	el
11	apoyo
12	de
13	la
14	mayoría
15	,
16	pues
17	será
18	el
19	único
20	sistema
21	válido
22	para
23	que
24	el
25	veto
26	de
27	un
28	país
29	impida
30	a
31	la
32	UE
33	avanzar
34	en
35	su
36	integración
37	en
38	una
39	política
40	concreta
41	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	fórmula	NOUN	8	nsubj
3	que	PRON	4	obj
4	proponen	VERB	2	acl
5	Alemania	PROPN	4	nsubj
6	e	CCONJ	7	cc
7	Italia	PROPN	5	conj
8	cuenta	VERB	0	root
9	con	ADP	11	case
10	el	DET	11	det
11	apoyo	NOUN	8	obj
12	de	ADP	14	case
13	la	DET	14	det
14	mayoría	NOUN	11	nmod
15	,	PUNCT	20	punct
16	pues	SCONJ	20	mark
17	será	AUX	20	cop
18	el	DET	20	det
19	único	ADJ	20	amod
20	sistema	NOUN	8	advcl
21	válido	ADJ	20	amod
22	para	ADP	29	mark
23	que	SCONJ	29	mark
24	el	DET	25	det
25	veto	NOUN	29	nsubj
26	de	ADP	28	case
27	un	DET	28	det
28	país	NOUN	25	nmod
29	impida	VERB	20	advcl
30	a	ADP	32	case
31	la	DET	32	det
32	UE	PROPN	29	iobj
33	avanzar	VERB	29	xcomp
34	en	ADP	36	case
35	su	DET	36	det
36	integración	NOUN	33	obl
37	en	ADP	39	case
38	una	DET	39	det
39	política	NOUN	36	nmod
40	concreta	ADJ	39	amod
41	.	PUNCT	8	punct