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 tokenized text:
Ponecháme budoucnosti, aby rozhodla , nakolik se tyto výhledy zmoudřelých proroků splní, nebo naopak upadnou v zapomnění a oni s nimi.
Postion	Tokenization
1	Ponecháme
2	budoucnosti
3	,
4	aby
5	aby
6	by
7	rozhodla
8	,
9	nakolik
10	se
11	tyto
12	výhledy
13	zmoudřelých
14	proroků
15	splní
16	,
17	nebo
18	naopak
19	upadnou
20	v
21	zapomnění
22	_
23	a
24	oni
25	s
26	nimi
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Ponecháme	VERB	0	root
2	budoucnosti	NOUN	1	obl:arg
3	,	PUNCT	6	punct
4	aby	_	None	_
5	aby	SCONJ	6	mark
6	by	AUX	6	aux
7	rozhodla	VERB	1	ccomp
8	,	PUNCT	14	punct
9	nakolik	ADV	14	advmod
10	se	PRON	14	expl:pv
11	tyto	DET	11	det
12	výhledy	NOUN	14	nsubj
13	zmoudřelých	ADJ	13	amod
14	proroků	NOUN	11	nmod
15	splní	VERB	6	ccomp
16	,	PUNCT	18	punct
17	nebo	CCONJ	18	cc
18	naopak	ADV	18	advmod
19	upadnou	VERB	14	conj
20	v	ADP	20	case
21	zapomnění	NOUN	18	obl:arg
22	_	_	None	_
23	a	CCONJ	22	cc
24	oni	PRON	18	conj
25	s	ADP	24	case
26	nimi	PRON	22	orphan
27	.	PUNCT	1	punct