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:
Chtěl bych, aby se ten náš stal tradicí a uvedl v život obdobnou přehlídku české kinematografie ve Francii, poznamenal umělecký ředitel pardubické přehlídky Jaromír Knittl.
Postion	Tokenization
1	Chtěl
2	bych
3	,
4	aby
5	aby
6	by
7	se
8	ten
9	náš
10	stal
11	tradicí
12	a
13	uvedl
14	v
15	život
16	obdobnou
17	přehlídku
18	české
19	kinematografie
20	ve
21	Francii
22	,
23	poznamenal
24	umělecký
25	ředitel
26	pardubické
27	přehlídky
28	Jaromír
29	Knittl
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Chtěl	VERB	22	ccomp
2	bych	AUX	1	aux
3	,	PUNCT	9	punct
4	aby	_	None	_
5	aby	SCONJ	9	mark
6	by	AUX	9	aux
7	se	PRON	9	expl:pv
8	ten	DET	9	nsubj
9	náš	DET	7	det
10	stal	VERB	1	ccomp
11	tradicí	NOUN	9	obl:arg
12	a	CCONJ	12	cc
13	uvedl	VERB	9	conj
14	v	ADP	14	case
15	život	NOUN	12	obl
16	obdobnou	ADJ	16	amod
17	přehlídku	NOUN	12	obj
18	české	ADJ	18	amod
19	kinematografie	NOUN	16	nmod
20	ve	ADP	20	case
21	Francii	PROPN	16	nmod
22	,	PUNCT	12	punct
23	poznamenal	VERB	0	root
24	umělecký	ADJ	24	amod
25	ředitel	NOUN	22	nsubj
26	pardubické	ADJ	26	amod
27	přehlídky	NOUN	24	nmod
28	Jaromír	PROPN	24	flat
29	Knittl	PROPN	24	flat
30	.	PUNCT	22	punct