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:
Očekává se, že vzhledem k současnému postoji Ammánu k blízkovýchodnímu mírovému procesu král požádá o odpuštění části dluhu Jordánska vůči Francii, který dosahuje miliardy dolarů.
Postion	Tokenization
1	Očekává
2	se
3	,
4	že
5	vzhledem
6	k
7	současnému
8	postoji
9	Ammánu
10	k
11	blízkovýchodnímu
12	mírovému
13	procesu
14	král
15	požádá
16	o
17	odpuštění
18	části
19	dluhu
20	Jordánska
21	vůči
22	Francii
23	,
24	který
25	dosahuje
26	miliardy
27	dolarů
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Očekává	VERB	0	root
2	se	PRON	1	expl:pass
3	,	PUNCT	15	punct
4	že	SCONJ	15	mark
5	vzhledem	ADP	8	case
6	k	ADP	5	fixed
7	současnému	ADJ	8	amod
8	postoji	NOUN	15	obl
9	Ammánu	PROPN	8	nmod
10	k	ADP	13	case
11	blízkovýchodnímu	ADJ	13	amod
12	mírovému	ADJ	13	amod
13	procesu	NOUN	8	nmod
14	král	NOUN	15	nsubj
15	požádá	VERB	1	csubj:pass
16	o	ADP	17	case
17	odpuštění	NOUN	15	obl:arg
18	části	NOUN	17	nmod
19	dluhu	NOUN	18	nmod
20	Jordánska	PROPN	19	nmod
21	vůči	ADP	22	case
22	Francii	PROPN	19	nmod
23	,	PUNCT	25	punct
24	který	DET	25	nsubj
25	dosahuje	VERB	19	acl:relcl
26	miliardy	NOUN	25	obl:arg
27	dolarů	NOUN	26	nmod
28	.	PUNCT	1	punct