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: Byť motor o obsahu 2068 ccm dává výkon' jen' 65 kW (88 k), je zrychlení bezmála čtyři a půl metru dlouhého vozidla z 0 na 100 km/ hod. 15 vteřin velice slušné.
Position	Tokenization	UPOS	Head	Deprel
1	Byť	SCONJ	7	mark
2	motor	NOUN	7	nsubj
3	o	ADP	4	case
4	obsahu	NOUN	2	nmod
5	2068	NUM	4	nummod
6	ccm	NOUN	5	nmod
7	dává	VERB	39	advcl
8	výkon	NOUN	7	obj
9	'	PUNCT	10	punct
10	jen	PART	12	advmod:emph
11	'	PUNCT	10	punct
12	65	NUM	8	nummod
13	kW	NOUN	12	nmod
14	(	PUNCT	15	punct
15	88	NUM	12	compound
16	k	NOUN	15	nmod
17	)	PUNCT	15	punct
18	,	PUNCT	7	punct
19	je	AUX	39	cop
20	zrychlení	NOUN	39	nsubj
21	bezmála	ADV	22	advmod
22	čtyři	NUM	25	nummod:gov
23	a	CCONJ	24	cc
24	půl	NOUN	22	conj
25	metru	NOUN	26	obl
26	dlouhého	ADJ	27	amod
27	vozidla	NOUN	20	nmod
28	z	ADP	29	case
29	0	NUM	20	nummod
30	na	ADP	31	case
31	100	NUM	20	nummod
32	km	NOUN	31	nmod
33	/	PUNCT	34	punct
34	hod	NOUN	32	nmod
35	.	PUNCT	34	punct
36	15	NUM	37	nummod:gov
37	vteřin	NOUN	20	nmod
38	velice	ADV	39	advmod
39	slušné	ADJ	0	root
40	.	PUNCT	39	punct