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:
Japonský premiér Cutomu Hata včera v Paříži slíbil více otevřít japonský vnitřní trh světu, pokud jeho země získá stálé křeslo v Radě bezpečnosti OSN.
Postion	Tokenization
1	Japonský
2	premiér
3	Cutomu
4	Hata
5	včera
6	v
7	Paříži
8	slíbil
9	více
10	otevřít
11	japonský
12	vnitřní
13	trh
14	světu
15	,
16	pokud
17	jeho
18	země
19	získá
20	stálé
21	křeslo
22	v
23	Radě
24	bezpečnosti
25	OSN
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Japonský	ADJ	2	amod
2	premiér	NOUN	8	nsubj
3	Cutomu	PROPN	2	flat
4	Hata	PROPN	2	flat
5	včera	ADV	8	advmod
6	v	ADP	7	case
7	Paříži	PROPN	8	obl
8	slíbil	VERB	0	root
9	více	ADV	10	advmod
10	otevřít	VERB	8	xcomp
11	japonský	ADJ	13	amod
12	vnitřní	ADJ	13	amod
13	trh	NOUN	10	obj
14	světu	NOUN	10	obl:arg
15	,	PUNCT	19	punct
16	pokud	SCONJ	19	mark
17	jeho	DET	18	det
18	země	NOUN	19	nsubj
19	získá	VERB	8	advcl
20	stálé	ADJ	21	amod
21	křeslo	NOUN	19	obj
22	v	ADP	23	case
23	Radě	NOUN	21	nmod
24	bezpečnosti	NOUN	23	nmod
25	OSN	PROPN	23	nmod
26	.	PUNCT	8	punct