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: Názory některých prodejců v ČR dokazují větší úspěšnost škodovek na českém trhu proti loňsku: např. dealer Auto Jarov Praha prodal v srpnu 1994 celkem 195 vozů (před rokem 120 vozů), firma NH Car Praha 145 vozů (loni v srpnu 100 vozů).
Position	Tokenization	UPOS	Head	Deprel
1	Názory	NOUN	6	nsubj
2	některých	DET	3	det
3	prodejců	NOUN	1	nmod
4	v	ADP	5	case
5	ČR	PROPN	3	nmod
6	dokazují	VERB	0	root
7	větší	ADJ	8	amod
8	úspěšnost	NOUN	6	obj
9	škodovek	NOUN	8	nmod
10	na	ADP	12	case
11	českém	ADJ	12	amod
12	trhu	NOUN	8	nmod
13	proti	ADP	14	case
14	loňsku	NOUN	7	obl
15	:	PUNCT	22	punct
16	např	ADV	18	advmod:emph
17	.	PUNCT	16	punct
18	dealer	NOUN	22	nsubj
19	Auto	NOUN	18	nmod
20	Jarov	PROPN	19	nmod
21	Praha	PROPN	20	nmod
22	prodal	VERB	6	conj
23	v	ADP	24	case
24	srpnu	NOUN	22	obl
25	1994	NUM	24	nummod
26	celkem	ADV	27	advmod:emph
27	195	NUM	28	nummod:gov
28	vozů	NOUN	22	obj
29	(	PUNCT	22	punct
30	před	ADP	31	case
31	rokem	NOUN	22	dep
32	120	NUM	33	nummod:gov
33	vozů	NOUN	22	dep
34	)	PUNCT	22	punct
35	_	_	None	_
36	,	PUNCT	36	punct
37	firma	NOUN	22	conj
38	NH	PROPN	36	nmod
39	Car	PROPN	37	nmod
40	Praha	PROPN	38	nmod
41	145	NUM	41	nummod:gov
42	vozů	NOUN	36	orphan
43	(	PUNCT	22	punct
44	loni	ADV	22	dep
45	v	ADP	45	case
46	srpnu	NOUN	22	dep
47	100	NUM	47	nummod:gov
48	vozů	NOUN	22	dep
49	)	PUNCT	22	punct
50	.	PUNCT	6	punct