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 text: Podle loňského podzimního průzkumu Sociologického ústavu AV ČR pokládá 65 % dotazovaných za nebezpečný růst teploty na Zemi vyvolaný skleníkovým efektem, 82 % občanů považuje za mimořádně nebo velmi nebezpečné pro životní prostředí znečištění českých řek, jezer a potoků.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	4	case
2	loňského	ADJ	4	amod
3	podzimního	ADJ	4	amod
4	průzkumu	NOUN	9	obl
5	Sociologického	ADJ	6	amod
6	ústavu	NOUN	4	nmod
7	AV	PROPN	6	nmod
8	ČR	PROPN	7	nmod
9	pokládá	VERB	0	root
10	65	NUM	9	nsubj
11	%	SYM	10	nmod
12	dotazovaných	ADJ	11	amod
13	za	ADP	14	case
14	nebezpečný	ADJ	9	obl:arg
15	růst	NOUN	9	obj
16	teploty	NOUN	15	nmod
17	na	ADP	18	case
18	Zemi	NOUN	16	nmod
19	vyvolaný	ADJ	15	amod
20	skleníkovým	ADJ	21	amod
21	efektem	NOUN	19	obl:arg
22	,	PUNCT	26	punct
23	82	NUM	26	nsubj
24	%	SYM	23	nmod
25	občanů	NOUN	24	nmod
26	považuje	VERB	9	conj
27	za	ADP	31	case
28	mimořádně	ADV	31	advmod
29	nebo	CCONJ	30	cc
30	velmi	ADV	28	conj
31	nebezpečné	ADJ	26	obl:arg
32	pro	ADP	34	case
33	životní	ADJ	34	amod
34	prostředí	NOUN	31	obl
35	znečištění	NOUN	26	obj
36	českých	ADJ	37	amod
37	řek	NOUN	35	nmod
38	,	PUNCT	39	punct
39	jezer	NOUN	37	conj
40	a	CCONJ	41	cc
41	potoků	NOUN	37	conj
42	.	PUNCT	9	punct