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: Na motivačním průzkumu je hodně prozíravého a např. velké automobilky potvrzují, že ať se muži dušují sebevíce, že kupují auto podle úspornosti provozu a velikosti úložného prostoru, statistiky prodeje jasně říkají něco jiného.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	3	case
2	motivačním	ADJ	3	amod
3	průzkumu	NOUN	4	obl
4	je	VERB	0	root
5	hodně	ADV	4	nsubj
6	prozíravého	ADJ	5	amod
7	a	CCONJ	12	cc
8	např	ADV	12	advmod:emph
9	.	PUNCT	8	punct
10	velké	ADJ	11	amod
11	automobilky	NOUN	12	nsubj
12	potvrzují	VERB	4	conj
13	,	PUNCT	18	punct
14	že	SCONJ	18	mark
15	ať	SCONJ	18	mark
16	se	PRON	18	expl:pv
17	muži	NOUN	18	nsubj
18	dušují	VERB	12	advcl
19	sebevíce	ADV	18	advmod
20	,	PUNCT	22	punct
21	že	SCONJ	22	mark
22	kupují	VERB	18	ccomp
23	auto	NOUN	22	obj
24	podle	ADP	25	case
25	úspornosti	NOUN	22	obl
26	provozu	NOUN	25	nmod
27	a	CCONJ	28	cc
28	velikosti	NOUN	25	conj
29	úložného	ADJ	30	amod
30	prostoru	NOUN	28	nmod
31	,	PUNCT	18	punct
32	statistiky	NOUN	35	nsubj
33	prodeje	NOUN	32	nmod
34	jasně	ADV	35	advmod
35	říkají	VERB	18	ccomp
36	něco	PRON	35	obj
37	jiného	ADJ	36	amod
38	.	PUNCT	4	punct