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:
Jednání vlády však prý prokázalo slabost ministerstva životního prostředí, jež bylo od roku 1992 postupně zbavováno kompetencí, a také slabé postavení samotného ministra Bendy ve vládě.
Postion	Tokenization
1	Jednání
2	vlády
3	však
4	prý
5	prokázalo
6	slabost
7	ministerstva
8	životního
9	prostředí
10	,
11	jež
12	bylo
13	od
14	roku
15	1992
16	postupně
17	zbavováno
18	kompetencí
19	,
20	a
21	také
22	slabé
23	postavení
24	samotného
25	ministra
26	Bendy
27	ve
28	vládě
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Jednání	NOUN	5	nsubj
2	vlády	NOUN	1	nmod
3	však	CCONJ	5	cc
4	prý	PART	5	advmod
5	prokázalo	VERB	0	root
6	slabost	NOUN	5	obj
7	ministerstva	NOUN	6	nmod
8	životního	ADJ	9	amod
9	prostředí	NOUN	7	nmod
10	,	PUNCT	17	punct
11	jež	PRON	17	nsubj:pass
12	bylo	AUX	17	aux:pass
13	od	ADP	14	case
14	roku	NOUN	17	obl
15	1992	NUM	14	nummod
16	postupně	ADV	17	advmod
17	zbavováno	ADJ	7	amod
18	kompetencí	NOUN	17	obl:arg
19	,	PUNCT	17	punct
20	a	CCONJ	23	cc
21	také	ADV	23	advmod:emph
22	slabé	ADJ	23	amod
23	postavení	NOUN	6	conj
24	samotného	ADJ	25	amod
25	ministra	NOUN	23	nmod
26	Bendy	PROPN	25	flat
27	ve	ADP	28	case
28	vládě	NOUN	23	nmod
29	.	PUNCT	5	punct