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: To je v rozporu s tvrzením vedení koncernu z minulého týdne, ve kterém škodovácký management tvrdil, že se odstávka dotkne většiny provozů a závodů Škody Plzeň, která má v současnosti 28000 zaměstnanců.
Position	Tokenization	UPOS	Head	Deprel
1	To	DET	2	nsubj
2	je	VERB	0	root
3	v	ADP	4	case
4	rozporu	NOUN	2	obl
5	s	ADP	6	case
6	tvrzením	NOUN	4	nmod
7	vedení	NOUN	6	nmod
8	koncernu	NOUN	7	nmod
9	z	ADP	11	case
10	minulého	ADJ	11	amod
11	týdne	NOUN	6	nmod
12	,	PUNCT	17	punct
13	ve	ADP	14	case
14	kterém	DET	17	obl
15	škodovácký	ADJ	16	amod
16	management	NOUN	17	nsubj
17	tvrdil	VERB	6	acl:relcl
18	,	PUNCT	22	punct
19	že	SCONJ	22	mark
20	se	PRON	22	expl:pv
21	odstávka	NOUN	22	nsubj
22	dotkne	VERB	17	ccomp
23	většiny	NOUN	22	obl:arg
24	provozů	NOUN	23	nmod
25	a	CCONJ	26	cc
26	závodů	NOUN	24	conj
27	Škody	PROPN	24	nmod
28	Plzeň	PROPN	27	nmod
29	,	PUNCT	31	punct
30	která	DET	31	nsubj
31	má	VERB	27	acl:relcl
32	v	ADP	33	case
33	současnosti	NOUN	31	obl
34	28000	NUM	35	nummod:gov
35	zaměstnanců	NOUN	31	obj
36	.	PUNCT	2	punct