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:
Jan Linda potvrdil informaci, že v pražské restauraci Asia Club byla policií nainstalována skrytá kamera, kterou byl pořízen průběh celého jednání mezi společnostmi TWI a C. S. Fond.
Postion	Tokenization
1	Jan
2	Linda
3	potvrdil
4	informaci
5	,
6	že
7	v
8	pražské
9	restauraci
10	Asia
11	Club
12	byla
13	policií
14	nainstalována
15	skrytá
16	kamera
17	,
18	kterou
19	byl
20	pořízen
21	průběh
22	celého
23	jednání
24	mezi
25	společnostmi
26	TWI
27	a
28	C
29	.
30	S
31	.
32	Fond
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Jan	PROPN	3	nsubj
2	Linda	PROPN	1	flat
3	potvrdil	VERB	0	root
4	informaci	NOUN	3	obj
5	,	PUNCT	14	punct
6	že	SCONJ	14	mark
7	v	ADP	9	case
8	pražské	ADJ	9	amod
9	restauraci	NOUN	14	obl
10	Asia	PROPN	11	nmod
11	Club	NOUN	9	nmod
12	byla	AUX	14	aux:pass
13	policií	NOUN	14	obl:arg
14	nainstalována	ADJ	4	amod
15	skrytá	ADJ	16	amod
16	kamera	NOUN	14	nsubj:pass
17	,	PUNCT	20	punct
18	kterou	DET	20	obl
19	byl	AUX	20	aux:pass
20	pořízen	ADJ	16	amod
21	průběh	NOUN	20	nsubj:pass
22	celého	ADJ	23	amod
23	jednání	NOUN	21	nmod
24	mezi	ADP	25	case
25	společnostmi	NOUN	23	nmod
26	TWI	PROPN	25	nmod
27	a	CCONJ	32	cc
28	C	NOUN	32	nmod
29	.	PUNCT	28	punct
30	S	NOUN	32	nmod
31	.	PUNCT	30	punct
32	Fond	NOUN	26	conj
33	.	PUNCT	3	punct