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: Novou technologii za více než 234 miliónů korun, která minimalizuje vypouštění nejjemnějších prachových částic uhlí do takzvaných kalových rybníků, uvedly ve čtvrtek Ostravsko-karvinské doly do trvalého provozu na dole Doubrava.
Position	Tokenization	UPOS	Head	Deprel
1	Novou	ADJ	2	amod
2	technologii	NOUN	22	obj
3	za	ADP	4	case
4	více	ADV	2	advmod
5	než	SCONJ	7	mark
6	234	NUM	7	nummod:gov
7	miliónů	NOUN	4	obl
8	korun	NOUN	4	nmod
9	,	PUNCT	11	punct
10	která	DET	11	nsubj
11	minimalizuje	VERB	2	acl:relcl
12	vypouštění	NOUN	11	obj
13	nejjemnějších	ADJ	15	amod
14	prachových	ADJ	15	amod
15	částic	NOUN	12	nmod
16	uhlí	NOUN	15	nmod
17	do	ADP	20	case
18	takzvaných	ADJ	20	amod
19	kalových	ADJ	20	amod
20	rybníků	NOUN	12	nmod
21	,	PUNCT	11	punct
22	uvedly	VERB	0	root
23	ve	ADP	24	case
24	čtvrtek	NOUN	22	obl
25	Ostravsko	ADJ	28	amod
26	-	PUNCT	27	punct
27	karvinské	ADJ	25	conj
28	doly	NOUN	22	nsubj
29	do	ADP	31	case
30	trvalého	ADJ	31	amod
31	provozu	NOUN	22	obl
32	na	ADP	33	case
33	dole	NOUN	22	obl
34	Doubrava	NOUN	33	nmod
35	.	PUNCT	22	punct