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:
V. Černomyrdin rovněž prohlásil, že jeho vláda bude napříště mnohem energičtěji působit proti organizované kriminalitě, která dosud stačila odradit od podnikání v Rusku mnoho zahraničních firem.
Postion	Tokenization
1	V
2	.
3	Černomyrdin
4	rovněž
5	prohlásil
6	,
7	že
8	jeho
9	vláda
10	bude
11	napříště
12	mnohem
13	energičtěji
14	působit
15	proti
16	organizované
17	kriminalitě
18	,
19	která
20	dosud
21	stačila
22	odradit
23	od
24	podnikání
25	v
26	Rusku
27	mnoho
28	zahraničních
29	firem
30	.
Position	Tokenization	UPOS	Head	Deprel
1	V	PROPN	5	nsubj
2	.	PUNCT	1	punct
3	Černomyrdin	PROPN	1	flat
4	rovněž	ADV	5	advmod:emph
5	prohlásil	VERB	0	root
6	,	PUNCT	14	punct
7	že	SCONJ	14	mark
8	jeho	DET	9	det
9	vláda	NOUN	14	nsubj
10	bude	AUX	14	aux
11	napříště	ADV	14	advmod
12	mnohem	ADV	13	advmod
13	energičtěji	ADV	14	advmod
14	působit	VERB	5	ccomp
15	proti	ADP	17	case
16	organizované	ADJ	17	amod
17	kriminalitě	NOUN	14	obl
18	,	PUNCT	21	punct
19	která	DET	21	nsubj
20	dosud	ADV	21	advmod
21	stačila	VERB	17	acl:relcl
22	odradit	VERB	21	xcomp
23	od	ADP	24	case
24	podnikání	NOUN	22	obl:arg
25	v	ADP	26	case
26	Rusku	PROPN	24	nmod
27	mnoho	DET	29	det:numgov
28	zahraničních	ADJ	29	amod
29	firem	NOUN	22	obj
30	.	PUNCT	5	punct