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: Naopak dojde-li k významné změně jakosti, která zvýší nebo sníží užitnou hodnotu výrobku , provádí se eliminace rozdílu vyplývající z jiné jakosti často za účasti externích odborných pracovníků (techniků a technologů).
Position	Tokenization	UPOS	Head	Deprel
1	Naopak	ADV	2	advmod
2	dojde	VERB	18	advcl
3	-	PUNCT	2	punct
4	li	PART	2	mark
5	k	ADP	7	case
6	významné	ADJ	7	amod
7	změně	NOUN	2	obl:arg
8	jakosti	NOUN	7	nmod
9	,	PUNCT	11	punct
10	která	DET	11	nsubj
11	zvýší	VERB	7	acl:relcl
12	nebo	CCONJ	13	cc
13	sníží	VERB	11	conj
14	užitnou	ADJ	15	amod
15	hodnotu	NOUN	11	obj
16	výrobku	NOUN	15	nmod
17	,	PUNCT	2	punct
18	provádí	VERB	0	root
19	se	PRON	18	expl:pass
20	eliminace	NOUN	18	nsubj:pass
21	rozdílu	NOUN	20	nmod
22	vyplývající	ADJ	20	amod
23	z	ADP	25	case
24	jiné	ADJ	25	amod
25	jakosti	NOUN	22	obl
26	často	ADV	18	advmod
27	za	ADP	28	case
28	účasti	NOUN	18	obl
29	externích	ADJ	31	amod
30	odborných	ADJ	31	amod
31	pracovníků	NOUN	28	nmod
32	(	PUNCT	33	punct
33	techniků	NOUN	31	appos
34	a	CCONJ	35	cc
35	technologů	NOUN	33	conj
36	)	PUNCT	33	punct
37	.	PUNCT	18	punct