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: Uvedu příklad každému známý: panu místopředsedovi federální vlády Mackovi samozřejmě vadí, když se ho novinář ptá, kde chce vzít desítky miliónů na nové podnikání, když to staré skončilo multidesítkomiliónovým fiaskem.
Position	Tokenization	UPOS	Head	Deprel
1	Uvedu	VERB	0	root
2	příklad	NOUN	1	obj
3	každému	DET	4	obl:arg
4	známý	ADJ	2	amod
5	:	PUNCT	12	punct
6	panu	NOUN	12	obl:arg
7	místopředsedovi	NOUN	6	flat
8	federální	ADJ	9	amod
9	vlády	NOUN	7	nmod
10	Mackovi	PROPN	6	flat
11	samozřejmě	ADV	12	advmod
12	vadí	VERB	2	appos
13	,	PUNCT	18	punct
14	když	SCONJ	18	mark
15	se	PRON	18	expl:pv
16	ho	PRON	18	obl:arg
17	novinář	NOUN	18	nsubj
18	ptá	VERB	12	csubj
19	,	PUNCT	21	punct
20	kde	ADV	21	advmod
21	chce	VERB	18	ccomp
22	vzít	VERB	21	xcomp
23	desítky	NOUN	22	obj
24	miliónů	NOUN	23	nmod
25	na	ADP	27	case
26	nové	ADJ	27	amod
27	podnikání	NOUN	24	nmod
28	,	PUNCT	32	punct
29	když	SCONJ	32	mark
30	to	DET	32	nsubj
31	staré	ADJ	30	amod
32	skončilo	VERB	21	advcl
33	multidesítkomiliónovým	NOUN	34	nmod
34	fiaskem	NOUN	32	obl
35	.	PUNCT	1	punct