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: Miroslav Adámek, jedenáctinásobný mistr Československa v automobilových závodech chce překonat vlastní český automobilový rychlostní rekord, který má hodnotu téměř 278 km/h a jehož dosáhl s vozem Williams-Ford Cosworth v roce 1986 na letišti ve Vodochodech.
Position	Tokenization	UPOS	Head	Deprel
1	Miroslav	PROPN	10	nsubj
2	Adámek	PROPN	1	flat
3	,	PUNCT	5	punct
4	jedenáctinásobný	ADJ	5	amod
5	mistr	NOUN	1	appos
6	Československa	PROPN	5	nmod
7	v	ADP	9	case
8	automobilových	ADJ	9	amod
9	závodech	NOUN	5	nmod
10	chce	VERB	0	root
11	překonat	VERB	10	xcomp
12	vlastní	ADJ	16	amod
13	český	ADJ	16	amod
14	automobilový	ADJ	16	amod
15	rychlostní	ADJ	16	amod
16	rekord	NOUN	11	obj
17	,	PUNCT	19	punct
18	který	DET	19	nsubj
19	má	VERB	16	acl:relcl
20	hodnotu	NOUN	19	obj
21	téměř	ADV	22	advmod:emph
22	278	NUM	20	xcomp
23	km	NOUN	22	nmod
24	/	SYM	23	case
25	h	NOUN	23	nmod
26	a	CCONJ	28	cc
27	jehož	PRON	28	obl:arg
28	dosáhl	VERB	19	conj
29	s	ADP	30	case
30	vozem	NOUN	28	obl
31	Williams	PROPN	34	nmod
32	-	PUNCT	31	punct
33	Ford	PROPN	34	nmod
34	Cosworth	PROPN	30	nmod
35	v	ADP	36	case
36	roce	NOUN	28	obl
37	1986	NUM	36	nummod
38	na	ADP	39	case
39	letišti	NOUN	28	obl
40	ve	ADP	41	case
41	Vodochodech	PROPN	39	nmod
42	.	PUNCT	10	punct