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:
Jestliže se ptáme, co vede manažery ke změně zaměstnání, shledáme, že stejně jako ostatní pracující zvažují výši finančního ohodnocení, obsah práce a pracovní podmínky.
Postion	Tokenization
1	Jestliže
2	se
3	ptáme
4	,
5	co
6	vede
7	manažery
8	ke
9	změně
10	zaměstnání
11	,
12	shledáme
13	,
14	že
15	stejně
16	jako
17	ostatní
18	pracující
19	zvažují
20	výši
21	finančního
22	ohodnocení
23	,
24	obsah
25	práce
26	a
27	pracovní
28	podmínky
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Jestliže	SCONJ	3	mark
2	se	PRON	3	expl:pv
3	ptáme	VERB	12	advcl
4	,	PUNCT	6	punct
5	co	PRON	6	nsubj
6	vede	VERB	3	ccomp
7	manažery	NOUN	6	obj
8	ke	ADP	9	case
9	změně	NOUN	6	obl
10	zaměstnání	NOUN	9	nmod
11	,	PUNCT	3	punct
12	shledáme	VERB	0	root
13	,	PUNCT	19	punct
14	že	SCONJ	19	mark
15	stejně	ADV	19	advmod
16	jako	SCONJ	18	mark
17	ostatní	ADJ	18	amod
18	pracující	ADJ	15	advcl
19	zvažují	VERB	12	ccomp
20	výši	NOUN	19	obj
21	finančního	ADJ	22	amod
22	ohodnocení	NOUN	20	nmod
23	,	PUNCT	24	punct
24	obsah	NOUN	20	conj
25	práce	NOUN	24	nmod
26	a	CCONJ	28	cc
27	pracovní	ADJ	28	amod
28	podmínky	NOUN	20	conj
29	.	PUNCT	12	punct