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 souvislosti s vládním odmítnutím státní politiky životního prostředí zaujal premiér Václav Klaus opět zásadní stanovisko (v LN 19. 8.) k této problematice.
Postion	Tokenization
1	V
2	souvislosti
3	s
4	vládním
5	odmítnutím
6	státní
7	politiky
8	životního
9	prostředí
10	zaujal
11	premiér
12	Václav
13	Klaus
14	opět
15	zásadní
16	stanovisko
17	(
18	v
19	LN
20	19
21	.
22	8
23	.
24	)
25	k
26	této
27	problematice
28	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	5	case
2	souvislosti	NOUN	1	fixed
3	s	ADP	1	fixed
4	vládním	ADJ	5	amod
5	odmítnutím	NOUN	10	obl
6	státní	ADJ	7	amod
7	politiky	NOUN	5	nmod
8	životního	ADJ	9	amod
9	prostředí	NOUN	7	nmod
10	zaujal	VERB	0	root
11	premiér	NOUN	10	nsubj
12	Václav	PROPN	11	flat
13	Klaus	PROPN	11	flat
14	opět	ADV	10	advmod
15	zásadní	ADJ	16	amod
16	stanovisko	NOUN	10	obj
17	(	PUNCT	16	punct
18	v	ADP	19	case
19	LN	PROPN	16	dep
20	19	NUM	22	compound
21	.	PUNCT	20	punct
22	8	NUM	19	nummod
23	.	PUNCT	22	punct
24	)	PUNCT	16	punct
25	k	ADP	27	case
26	této	DET	27	det
27	problematice	NOUN	16	nmod
28	.	PUNCT	10	punct