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 pozorovatelů bylo tohoto pozitivního výsledku dosaženo dvěma mechanismy: za prvé největší znečišťovatelé mají zájem na větší redukci emisí, než požaduje zákon, protože je to pro ně obvykle levnější než pro menší znečišťovatele;
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	pozorovatelů	NOUN	7	obl
3	bylo	AUX	7	aux:pass
4	tohoto	DET	6	det
5	pozitivního	ADJ	6	amod
6	výsledku	NOUN	7	obl:arg
7	dosaženo	ADJ	0	root
8	dvěma	NUM	9	nummod
9	mechanismy	NOUN	7	obl
10	:	PUNCT	15	punct
11	za	ADP	12	case
12	prvé	ADJ	15	obl
13	největší	ADJ	14	amod
14	znečišťovatelé	NOUN	15	nsubj
15	mají	VERB	7	conj
16	zájem	NOUN	15	obj
17	na	ADP	19	case
18	větší	ADJ	19	amod
19	redukci	NOUN	16	nmod
20	emisí	NOUN	19	nmod
21	,	PUNCT	23	punct
22	než	SCONJ	23	mark
23	požaduje	VERB	18	advcl
24	zákon	NOUN	23	nsubj
25	,	PUNCT	32	punct
26	protože	SCONJ	32	mark
27	je	AUX	32	cop
28	to	DET	32	nsubj
29	pro	ADP	30	case
30	ně	PRON	32	obl
31	obvykle	ADV	32	advmod
32	levnější	ADJ	15	advcl
33	než	SCONJ	36	mark
34	pro	ADP	36	case
35	menší	ADJ	36	amod
36	znečišťovatele	NOUN	32	dep
37	;	PUNCT	7	punct