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:
El político bávaro atribuye incluso la actual debilidad del Euro al hecho de que se está planeando una ampliación de la UE sin suficiente base financiera.
Postion	Tokenization
1	El
2	político
3	bávaro
4	atribuye
5	incluso
6	la
7	actual
8	debilidad
9	del
10	Euro
11	al
12	hecho
13	de
14	que
15	se
16	está
17	planeando
18	una
19	ampliación
20	de
21	la
22	UE
23	sin
24	suficiente
25	base
26	financiera
27	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	político	NOUN	4	nsubj
3	bávaro	ADJ	2	amod
4	atribuye	VERB	0	root
5	incluso	ADV	4	advmod
6	la	DET	8	det
7	actual	ADJ	8	amod
8	debilidad	NOUN	4	obj
9	del	ADP	10	case
10	Euro	PROPN	8	nmod
11	al	ADP	12	case
12	hecho	NOUN	4	obj
13	de	ADP	17	mark
14	que	SCONJ	17	mark
15	se	PRON	17	expl:pass
16	está	AUX	17	aux
17	planeando	VERB	12	acl
18	una	DET	19	det
19	ampliación	NOUN	17	nsubj
20	de	ADP	22	case
21	la	DET	22	det
22	UE	PROPN	19	nmod
23	sin	ADP	25	case
24	suficiente	ADJ	25	amod
25	base	NOUN	19	nmod
26	financiera	ADJ	25	amod
27	.	PUNCT	4	punct