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:
Pasqua, který patří k rozhodným zastáncům premiérovy kandidatury na francouzského prezidenta, si podle listu chtěl nabídkou demise ověřit nynější Balladurův postoj.
Postion	Tokenization
1	Pasqua
2	,
3	který
4	patří
5	k
6	rozhodným
7	zastáncům
8	premiérovy
9	kandidatury
10	na
11	francouzského
12	prezidenta
13	,
14	si
15	podle
16	listu
17	chtěl
18	nabídkou
19	demise
20	ověřit
21	nynější
22	Balladurův
23	postoj
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Pasqua	PROPN	17	nsubj
2	,	PUNCT	4	punct
3	který	DET	4	nsubj
4	patří	VERB	1	acl:relcl
5	k	ADP	7	case
6	rozhodným	ADJ	7	amod
7	zastáncům	NOUN	4	obl:arg
8	premiérovy	ADJ	9	amod
9	kandidatury	NOUN	7	nmod
10	na	ADP	12	case
11	francouzského	ADJ	12	amod
12	prezidenta	NOUN	9	nmod
13	,	PUNCT	4	punct
14	si	PRON	20	obl
15	podle	ADP	16	case
16	listu	NOUN	20	obl
17	chtěl	VERB	0	root
18	nabídkou	NOUN	20	obl
19	demise	NOUN	18	nmod
20	ověřit	VERB	17	xcomp
21	nynější	ADJ	23	amod
22	Balladurův	ADJ	23	amod
23	postoj	NOUN	20	obj
24	.	PUNCT	17	punct