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:
Do systému kvality je tak přímo vtažen výrobní pracovník, který její výsledky bezprostředně ovlivňuje a má odpovědnost za výrobek až do přechodu na další operaci k jinému pracovníkovi.
Postion	Tokenization
1	Do
2	systému
3	kvality
4	je
5	tak
6	přímo
7	vtažen
8	výrobní
9	pracovník
10	,
11	který
12	její
13	výsledky
14	bezprostředně
15	ovlivňuje
16	a
17	má
18	odpovědnost
19	za
20	výrobek
21	až
22	do
23	přechodu
24	na
25	další
26	operaci
27	k
28	jinému
29	pracovníkovi
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Do	ADP	2	case
2	systému	NOUN	7	obl
3	kvality	NOUN	2	nmod
4	je	AUX	7	cop
5	tak	ADV	7	advmod
6	přímo	ADV	7	advmod
7	vtažen	ADJ	0	root
8	výrobní	ADJ	9	amod
9	pracovník	NOUN	7	nsubj
10	,	PUNCT	15	punct
11	který	DET	15	nsubj
12	její	DET	13	det
13	výsledky	NOUN	15	obj
14	bezprostředně	ADV	15	advmod
15	ovlivňuje	VERB	9	acl:relcl
16	a	CCONJ	17	cc
17	má	VERB	15	conj
18	odpovědnost	NOUN	17	obj
19	za	ADP	20	case
20	výrobek	NOUN	18	nmod
21	až	PART	23	advmod:emph
22	do	ADP	23	case
23	přechodu	NOUN	17	obl
24	na	ADP	26	case
25	další	ADJ	26	amod
26	operaci	NOUN	23	nmod
27	k	ADP	29	case
28	jinému	ADJ	29	amod
29	pracovníkovi	NOUN	26	nmod
30	.	PUNCT	7	punct