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: Přispívá k tomu fakt, že firmy, nabízející manažerům pracovní místo, je nedostatečně hmotně stimulují a motivují, aby byli ochotni dojíždět do zaměstnání i několik desítek kilometrů od svého trvalého bydliště.
Position	Tokenization	UPOS	Head	Deprel
1	Přispívá	VERB	0	root
2	k	ADP	3	case
3	tomu	DET	1	obl:arg
4	fakt	NOUN	1	nsubj
5	,	PUNCT	17	punct
6	že	SCONJ	17	mark
7	firmy	NOUN	17	nsubj
8	,	PUNCT	9	punct
9	nabízející	ADJ	7	amod
10	manažerům	NOUN	9	obl:arg
11	pracovní	ADJ	12	amod
12	místo	NOUN	9	obj
13	,	PUNCT	9	punct
14	je	PRON	17	obj
15	nedostatečně	ADV	17	advmod
16	hmotně	ADV	17	advmod
17	stimulují	VERB	4	acl
18	a	CCONJ	19	cc
19	motivují	VERB	17	conj
20	,	PUNCT	24	punct
21	aby	_	None	_
22	aby	SCONJ	24	mark
23	by	AUX	24	aux
24	byli	AUX	24	cop
25	ochotni	ADJ	19	advcl
26	dojíždět	VERB	24	xcomp
27	do	ADP	27	case
28	zaměstnání	NOUN	25	obl
29	i	CCONJ	29	advmod:emph
30	několik	DET	30	det:numgov
31	desítek	NOUN	25	obl
32	kilometrů	NOUN	30	nmod
33	od	ADP	35	case
34	svého	DET	35	det
35	trvalého	ADJ	35	amod
36	bydliště	NOUN	31	nmod
37	.	PUNCT	1	punct