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: Vypráví příběh mladého muže, který se vydává s přáteli a s průvodcem, výjimečně úspěšným podnikatelem a znamenitým horolezcem, na víkendovou cestu k vrcholům hor, aby se velice brzy - stejně jako i čtenář knížky - naučil lépe a rychleji se rozhodovat.
Position	Tokenization	UPOS	Head	Deprel
1	Vypráví	VERB	0	root
2	příběh	NOUN	1	obj
3	mladého	ADJ	4	amod
4	muže	NOUN	2	nmod
5	,	PUNCT	8	punct
6	který	DET	8	nsubj
7	se	PRON	8	expl:pv
8	vydává	VERB	4	acl:relcl
9	s	ADP	10	case
10	přáteli	NOUN	8	obl
11	a	CCONJ	10	cc
12	s	ADP	13	case
13	průvodcem	NOUN	10	obl
14	,	PUNCT	17	punct
15	výjimečně	ADV	16	advmod
16	úspěšným	ADJ	17	amod
17	podnikatelem	NOUN	13	appos
18	a	CCONJ	20	cc
19	znamenitým	ADJ	20	amod
20	horolezcem	NOUN	17	conj
21	,	PUNCT	17	punct
22	na	ADP	24	case
23	víkendovou	ADJ	24	amod
24	cestu	NOUN	8	obl
25	k	ADP	26	case
26	vrcholům	NOUN	24	nmod
27	hor	NOUN	26	nmod
28	,	PUNCT	41	punct
29	aby	_	None	_
30	aby	SCONJ	41	mark
31	by	AUX	41	aux
32	se	PRON	41	expl:pv
33	velice	ADV	33	advmod
34	brzy	ADV	41	advmod
35	-	PUNCT	35	punct
36	stejně	ADV	41	advmod
37	jako	SCONJ	38	mark
38	i	CCONJ	38	advmod:emph
39	čtenář	NOUN	35	advcl
40	knížky	NOUN	38	nmod
41	-	PUNCT	35	punct
42	naučil	VERB	8	advcl
43	lépe	ADV	46	advmod
44	a	CCONJ	44	cc
45	rychleji	ADV	42	conj
46	se	PRON	46	expl:pv
47	rozhodovat	VERB	41	csubj
48	.	PUNCT	1	punct