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:
Bez zajímavosti není, že Amato svým francouzským kolegům přislíbil vytvoření tlaku na italský senát, aby dohody z Maastrichtu schválil před termínem referenda ve Francii o téže otázce.
Postion	Tokenization
1	Bez
2	zajímavosti
3	není
4	,
5	že
6	Amato
7	svým
8	francouzským
9	kolegům
10	přislíbil
11	vytvoření
12	tlaku
13	na
14	italský
15	senát
16	,
17	aby
18	aby
19	by
20	dohody
21	z
22	Maastrichtu
23	schválil
24	před
25	termínem
26	referenda
27	ve
28	Francii
29	o
30	téže
31	otázce
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Bez	ADP	2	case
2	zajímavosti	NOUN	3	obl
3	není	VERB	0	root
4	,	PUNCT	10	punct
5	že	SCONJ	10	mark
6	Amato	PROPN	10	nsubj
7	svým	DET	9	det
8	francouzským	ADJ	9	amod
9	kolegům	NOUN	10	obl:arg
10	přislíbil	VERB	3	csubj
11	vytvoření	NOUN	10	obj
12	tlaku	NOUN	11	nmod
13	na	ADP	15	case
14	italský	ADJ	15	amod
15	senát	NOUN	12	nmod
16	,	PUNCT	22	punct
17	aby	_	None	_
18	aby	SCONJ	22	mark
19	by	AUX	22	aux
20	dohody	NOUN	22	obj
21	z	ADP	21	case
22	Maastrichtu	PROPN	19	nmod
23	schválil	VERB	10	advcl
24	před	ADP	24	case
25	termínem	NOUN	22	obl
26	referenda	NOUN	24	nmod
27	ve	ADP	27	case
28	Francii	PROPN	25	nmod
29	o	ADP	30	case
30	téže	DET	30	det
31	otázce	NOUN	25	nmod
32	.	PUNCT	3	punct