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: A nakonec, že pojem entropie vede k tzv. šipce času, která nám dovoluje zaznamenat minulost, ale nikoli budoucnost (což je pro většinu lidí bláznivé zjištění, ale je to zjištění s hlubokými filozofickými důsledky)?
Position	Tokenization	UPOS	Head	Deprel
1	A	CCONJ	2	cc
2	nakonec	ADV	0	root
3	,	PUNCT	7	punct
4	že	SCONJ	7	mark
5	pojem	NOUN	7	nsubj
6	entropie	NOUN	5	nmod
7	vede	VERB	2	conj
8	k	ADP	11	case
9	tzv	ADJ	11	amod
10	.	PUNCT	9	punct
11	šipce	NOUN	7	obl
12	času	NOUN	11	nmod
13	,	PUNCT	16	punct
14	která	DET	16	nsubj
15	nám	PRON	16	obl:arg
16	dovoluje	VERB	11	acl:relcl
17	zaznamenat	VERB	16	xcomp
18	minulost	NOUN	17	obj
19	,	PUNCT	22	punct
20	ale	CCONJ	22	cc
21	nikoli	ADV	22	advmod:emph
22	budoucnost	NOUN	18	conj
23	(	PUNCT	30	punct
24	což	PRON	30	nsubj
25	je	AUX	30	cop
26	pro	ADP	27	case
27	většinu	NOUN	30	obl
28	lidí	NOUN	27	nmod
29	bláznivé	ADJ	30	amod
30	zjištění	NOUN	7	parataxis
31	,	PUNCT	35	punct
32	ale	CCONJ	35	cc
33	je	AUX	35	cop
34	to	DET	35	nsubj
35	zjištění	NOUN	30	conj
36	s	ADP	39	case
37	hlubokými	ADJ	39	amod
38	filozofickými	ADJ	39	amod
39	důsledky	NOUN	35	nmod
40	)	PUNCT	30	punct
41	?	PUNCT	2	punct