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:
Nezanedbatelný podíl na tom měla skutečnost, že Peking nařídil uzavření dvou největších čínských společností, které neoprávněně vyrábějí kompaktní desky a videokazety, a čtyřem dalším výrobky zabavil.
Postion	Tokenization
1	Nezanedbatelný
2	podíl
3	na
4	tom
5	měla
6	skutečnost
7	,
8	že
9	Peking
10	nařídil
11	uzavření
12	dvou
13	největších
14	čínských
15	společností
16	,
17	které
18	neoprávněně
19	vyrábějí
20	kompaktní
21	desky
22	a
23	videokazety
24	,
25	a
26	čtyřem
27	dalším
28	výrobky
29	zabavil
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Nezanedbatelný	ADJ	2	amod
2	podíl	NOUN	5	obj
3	na	ADP	4	case
4	tom	DET	2	det
5	měla	VERB	0	root
6	skutečnost	NOUN	5	nsubj
7	,	PUNCT	10	punct
8	že	SCONJ	10	mark
9	Peking	PROPN	10	nsubj
10	nařídil	VERB	6	acl
11	uzavření	NOUN	10	obj
12	dvou	NUM	15	nummod
13	největších	ADJ	15	amod
14	čínských	ADJ	15	amod
15	společností	NOUN	11	nmod
16	,	PUNCT	19	punct
17	které	DET	19	nsubj
18	neoprávněně	ADV	19	advmod
19	vyrábějí	VERB	15	acl:relcl
20	kompaktní	ADJ	21	amod
21	desky	NOUN	19	obj
22	a	CCONJ	23	cc
23	videokazety	NOUN	21	conj
24	,	PUNCT	29	punct
25	a	CCONJ	29	cc
26	čtyřem	NUM	29	obl:arg
27	dalším	ADJ	26	amod
28	výrobky	NOUN	29	obj
29	zabavil	VERB	10	conj
30	.	PUNCT	5	punct