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: Ovšem potenciální podnikatel mnohdy zjišťuje, že když chce začít s podnikáním a zaměstnávat lidi, musí nejdříve postavit například čistírnu odpadních vod a to jej finančně zruinuje ještě dříve, než svůj podnik otevře.
Position	Tokenization	UPOS	Head	Deprel
1	Ovšem	CCONJ	5	cc
2	potenciální	ADJ	3	amod
3	podnikatel	NOUN	5	nsubj
4	mnohdy	ADV	5	advmod
5	zjišťuje	VERB	0	root
6	,	PUNCT	17	punct
7	že	SCONJ	17	mark
8	když	SCONJ	9	mark
9	chce	VERB	17	advcl
10	začít	VERB	9	xcomp
11	s	ADP	12	case
12	podnikáním	NOUN	10	obl:arg
13	a	CCONJ	14	cc
14	zaměstnávat	VERB	10	conj
15	lidi	NOUN	14	obj
16	,	PUNCT	9	punct
17	musí	VERB	5	ccomp
18	nejdříve	ADV	17	advmod
19	postavit	VERB	17	xcomp
20	například	ADV	21	cc
21	čistírnu	NOUN	19	obj
22	odpadních	ADJ	23	amod
23	vod	NOUN	21	nmod
24	a	CCONJ	28	cc
25	to	DET	28	nsubj
26	jej	PRON	28	obj
27	finančně	ADV	28	advmod
28	zruinuje	VERB	17	conj
29	ještě	ADV	30	advmod:emph
30	dříve	ADV	28	advmod
31	,	PUNCT	35	punct
32	než	SCONJ	35	mark
33	svůj	DET	34	det
34	podnik	NOUN	35	obj
35	otevře	VERB	30	advcl
36	.	PUNCT	5	punct