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:
Společnost pro trvale udržitelný život vyjadřuje hluboké znepokojení nad přezíravým a bezkoncepčním přístupem české vlády a Poslanecké sněmovny k řešení vážných ekologických problémů.
Postion	Tokenization
1	Společnost
2	pro
3	trvale
4	udržitelný
5	život
6	vyjadřuje
7	hluboké
8	znepokojení
9	nad
10	přezíravým
11	a
12	bezkoncepčním
13	přístupem
14	české
15	vlády
16	a
17	Poslanecké
18	sněmovny
19	k
20	řešení
21	vážných
22	ekologických
23	problémů
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Společnost	NOUN	6	nsubj
2	pro	ADP	5	case
3	trvale	ADV	4	advmod
4	udržitelný	ADJ	5	amod
5	život	NOUN	1	nmod
6	vyjadřuje	VERB	0	root
7	hluboké	ADJ	8	amod
8	znepokojení	NOUN	6	obj
9	nad	ADP	13	case
10	přezíravým	ADJ	13	amod
11	a	CCONJ	12	cc
12	bezkoncepčním	ADJ	10	conj
13	přístupem	NOUN	8	nmod
14	české	ADJ	15	amod
15	vlády	NOUN	13	nmod
16	a	CCONJ	18	cc
17	Poslanecké	ADJ	18	amod
18	sněmovny	NOUN	15	conj
19	k	ADP	20	case
20	řešení	NOUN	13	nmod
21	vážných	ADJ	23	amod
22	ekologických	ADJ	23	amod
23	problémů	NOUN	20	nmod
24	.	PUNCT	6	punct