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:
a za druhé zákon podporuje konkurenci mezi ostatními metodami kontroly znečištění - přispěl například ke značnému poklesu ceny uhlí s nízkým obsahem síry.
Postion	Tokenization
1	a
2	za
3	druhé
4	zákon
5	podporuje
6	konkurenci
7	mezi
8	ostatními
9	metodami
10	kontroly
11	znečištění
12	-
13	přispěl
14	například
15	ke
16	značnému
17	poklesu
18	ceny
19	uhlí
20	s
21	nízkým
22	obsahem
23	síry
24	.
Position	Tokenization	UPOS	Head	Deprel
1	a	CCONJ	5	cc
2	za	ADP	3	case
3	druhé	ADJ	5	obl
4	zákon	NOUN	5	nsubj
5	podporuje	VERB	0	root
6	konkurenci	NOUN	5	obj
7	mezi	ADP	9	case
8	ostatními	ADJ	9	amod
9	metodami	NOUN	6	nmod
10	kontroly	NOUN	9	nmod
11	znečištění	NOUN	10	nmod
12	-	PUNCT	13	punct
13	přispěl	VERB	5	advcl
14	například	ADV	13	advmod
15	ke	ADP	17	case
16	značnému	ADJ	17	amod
17	poklesu	NOUN	13	obl:arg
18	ceny	NOUN	17	nmod
19	uhlí	NOUN	18	nmod
20	s	ADP	22	case
21	nízkým	ADJ	22	amod
22	obsahem	NOUN	19	nmod
23	síry	NOUN	22	nmod
24	.	PUNCT	5	punct