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: Výstižnější, než mnoha slovy, se jeví ukázat rozhodující změny na grafech - říkejme jim i my "magické trojúhelníky", kde od středu doprava budeme nanášet míru nezaměstnanosti, doleva míru inflace a nahoru tempo ekonomického růstu, vše v meziročních procentuálně vyjádřených tempech přírůstků.
Position	Tokenization	UPOS	Head	Deprel
1	Výstižnější	ADJ	8	obl
2	,	PUNCT	5	punct
3	než	SCONJ	5	mark
4	mnoha	DET	5	det:nummod
5	slovy	NOUN	1	advcl
6	,	PUNCT	5	punct
7	se	PRON	8	expl:pv
8	jeví	VERB	0	root
9	ukázat	VERB	8	csubj
10	rozhodující	ADJ	11	amod
11	změny	NOUN	9	obj
12	na	ADP	13	case
13	grafech	NOUN	9	obl
14	-	PUNCT	15	punct
15	říkejme	VERB	8	parataxis
16	jim	PRON	15	obl:arg
17	i	CCONJ	18	advmod:emph
18	my	PRON	15	nsubj
19	"	PUNCT	21	punct
20	magické	ADJ	21	amod
21	trojúhelníky	NOUN	15	obl
22	"	PUNCT	21	punct
23	,	PUNCT	29	punct
24	kde	ADV	29	advmod
25	od	ADP	26	case
26	středu	NOUN	29	obl
27	doprava	NOUN	29	obl
28	budeme	AUX	29	aux
29	nanášet	VERB	13	acl:relcl
30	míru	NOUN	29	obj
31	nezaměstnanosti	NOUN	30	nmod
32	_	_	None	_
33	,	PUNCT	33	punct
34	doleva	ADV	29	conj
35	míru	NOUN	33	orphan
36	inflace	NOUN	34	nmod
37	a	CCONJ	33	cc
38	nahoru	ADV	33	orphan
39	tempo	NOUN	33	orphan
40	ekonomického	ADJ	40	amod
41	růstu	NOUN	38	nmod
42	,	PUNCT	29	punct
43	vše	DET	29	dep
44	v	ADP	47	case
45	meziročních	ADJ	47	amod
46	procentuálně	ADV	46	advmod
47	vyjádřených	ADJ	47	amod
48	tempech	NOUN	29	dep
49	přírůstků	NOUN	47	nmod
50	.	PUNCT	8	punct