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: Uchazeči vidí ve změně zaměstnání v 55 % cestu k širšímu uplatnění svých schopností a lepšímu ocenění svého pracovního nasazení, v 25 % v zabezpečení dalšího uplatnění, neboť se nacházejí v podniku, který je před reorganizací nebo restrukturalizací.
Position	Tokenization	UPOS	Head	Deprel
1	Uchazeči	NOUN	2	nsubj
2	vidí	VERB	0	root
3	ve	ADP	4	case
4	změně	NOUN	2	obl
5	zaměstnání	NOUN	4	nmod
6	v	ADP	8	case
7	55	NUM	8	nummod
8	%	SYM	2	advmod
9	cestu	NOUN	2	obj
10	k	ADP	12	case
11	širšímu	ADJ	12	amod
12	uplatnění	NOUN	9	nmod
13	svých	DET	14	det
14	schopností	NOUN	12	nmod
15	a	CCONJ	17	cc
16	lepšímu	ADJ	17	amod
17	ocenění	NOUN	12	conj
18	svého	DET	20	det
19	pracovního	ADJ	20	amod
20	nasazení	NOUN	17	nmod
21	_	_	None	_
22	,	PUNCT	24	punct
23	v	ADP	24	case
24	25	NUM	24	nummod
25	%	SYM	2	conj
26	v	ADP	26	case
27	zabezpečení	NOUN	24	orphan
28	dalšího	ADJ	28	amod
29	uplatnění	NOUN	26	nmod
30	,	PUNCT	32	punct
31	neboť	CCONJ	32	cc
32	se	PRON	32	expl:pv
33	nacházejí	VERB	2	conj
34	v	ADP	34	case
35	podniku	NOUN	32	obl
36	,	PUNCT	37	punct
37	který	DET	37	nsubj
38	je	VERB	34	acl:relcl
39	před	ADP	39	case
40	reorganizací	NOUN	37	obl
41	nebo	CCONJ	41	cc
42	restrukturalizací	NOUN	39	conj
43	.	PUNCT	2	punct