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: Problém životního prostředí severních Čech lze podle předsedy LSNS P. Hirše řešit vytipováním vhodných elektráren a jejich odsířením, záměnou tuhých paliv za plynná a zavedením technologií, které sníží energetickou náročnost výroby.
Position	Tokenization	UPOS	Head	Deprel
1	Problém	NOUN	13	obj
2	životního	ADJ	3	amod
3	prostředí	NOUN	1	nmod
4	severních	ADJ	5	amod
5	Čech	PROPN	3	nmod
6	lze	VERB	0	root
7	podle	ADP	8	case
8	předsedy	NOUN	6	obl
9	LSNS	PROPN	8	nmod
10	P	PROPN	8	flat
11	.	PUNCT	10	punct
12	Hirše	PROPN	8	flat
13	řešit	VERB	6	csubj
14	vytipováním	NOUN	13	obl
15	vhodných	ADJ	16	amod
16	elektráren	NOUN	14	nmod
17	a	CCONJ	19	cc
18	jejich	DET	19	det
19	odsířením	NOUN	14	conj
20	,	PUNCT	21	punct
21	záměnou	NOUN	14	conj
22	tuhých	ADJ	23	amod
23	paliv	NOUN	21	nmod
24	za	ADP	25	case
25	plynná	ADJ	21	dep
26	a	CCONJ	27	cc
27	zavedením	NOUN	14	conj
28	technologií	NOUN	27	nmod
29	,	PUNCT	31	punct
30	které	DET	31	nsubj
31	sníží	VERB	28	acl:relcl
32	energetickou	ADJ	33	amod
33	náročnost	NOUN	31	obj
34	výroby	NOUN	33	nmod
35	.	PUNCT	6	punct