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: Mezi téměř 120 akcemi budí největší pozornost samozřejmě Grand Prix ČR, podnik mistrovství světa motocyklů a sajdkárů (plus závod ME třídy 125 ccm), v bohatější míře si však tentokrát přijdou na své i vyhranění vyznavači automobilového sportu.
Position	Tokenization	UPOS	Head	Deprel
1	Mezi	ADP	4	case
2	téměř	ADV	4	advmod:emph
3	120	NUM	4	nummod
4	akcemi	NOUN	5	obl
5	budí	VERB	0	root
6	největší	ADJ	7	amod
7	pozornost	NOUN	5	obj
8	samozřejmě	ADV	5	advmod
9	Grand	ADJ	5	nsubj
10	Prix	PROPN	9	flat:foreign
11	ČR	PROPN	9	nmod
12	,	PUNCT	13	punct
13	podnik	NOUN	9	appos
14	mistrovství	NOUN	13	nmod
15	světa	NOUN	14	nmod
16	motocyklů	NOUN	14	nmod
17	a	CCONJ	18	cc
18	sajdkárů	NOUN	16	conj
19	(	PUNCT	21	punct
20	plus	CCONJ	21	cc
21	závod	NOUN	13	conj
22	ME	NOUN	21	nmod
23	třídy	NOUN	21	nmod
24	125	NUM	23	nummod
25	ccm	NOUN	24	nmod
26	)	PUNCT	21	punct
27	,	PUNCT	34	punct
28	v	ADP	30	case
29	bohatější	ADJ	30	amod
30	míře	NOUN	34	obl
31	si	PRON	34	discourse
32	však	CCONJ	34	cc
33	tentokrát	ADV	34	advmod
34	přijdou	VERB	5	conj
35	na	ADP	36	case
36	své	DET	34	obl:arg
37	i	CCONJ	39	advmod:emph
38	vyhranění	ADJ	39	amod
39	vyznavači	NOUN	34	nsubj
40	automobilového	ADJ	41	amod
41	sportu	NOUN	39	nmod
42	.	PUNCT	5	punct