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 Premio Nobel a Günter Grass es sobre todo el premio a un europeo alemán, y precisamente a un fronterizo entre Alemania y Polonia.
Postion	Tokenization
1	El
2	Premio
3	Nobel
4	a
5	Günter
6	Grass
7	es
8	sobre
9	todo
10	el
11	premio
12	a
13	un
14	europeo
15	alemán
16	,
17	y
18	precisamente
19	a
20	un
21	fronterizo
22	entre
23	Alemania
24	y
25	Polonia
26	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Premio	PROPN	11	nsubj
3	Nobel	PROPN	2	flat
4	a	ADP	5	case
5	Günter	PROPN	2	nmod
6	Grass	PROPN	5	flat
7	es	AUX	11	cop
8	sobre	ADP	11	advmod
9	todo	PRON	8	fixed
10	el	DET	11	det
11	premio	NOUN	0	root
12	a	ADP	14	case
13	un	DET	14	det
14	europeo	NOUN	11	nmod
15	alemán	ADJ	14	amod
16	,	PUNCT	18	punct
17	y	CCONJ	18	cc
18	precisamente	ADV	14	conj
19	a	ADP	18	case
20	un	DET	21	det
21	fronterizo	ADJ	18	amod
22	entre	ADP	23	case
23	Alemania	PROPN	21	nmod
24	y	CCONJ	25	cc
25	Polonia	PROPN	23	conj
26	.	PUNCT	11	punct