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: Právě proto, že chtěl pochopit souvislosti a poslal otroka, aby mu odkráčel vzdálenost mezi Asuánem a Alexandrií, a právě proto, že pochopil, jak spolu souvisí dva různě dlouhé stíny vržené stejnými tyčemi ve stejnou dobu na různých místech, nešlo o nějaké navyknutí si.
Position	Tokenization	UPOS	Head	Deprel
1	Právě	ADV	2	advmod:emph
2	proto	ADV	0	root
3	_	_	None	_
4	,	PUNCT	5	punct
5	že	SCONJ	5	mark
6	chtěl	VERB	2	conj
7	pochopit	VERB	5	xcomp
8	souvislosti	NOUN	6	obj
9	a	CCONJ	9	cc
10	poslal	VERB	5	conj
11	otroka	NOUN	9	obj
12	,	PUNCT	15	punct
13	aby	_	None	_
14	aby	SCONJ	15	mark
15	by	AUX	15	aux
16	mu	PRON	15	obl
17	odkráčel	VERB	9	advcl
18	vzdálenost	NOUN	15	obj
19	mezi	ADP	18	case
20	Asuánem	PROPN	16	nmod
21	a	CCONJ	20	cc
22	Alexandrií	PROPN	18	conj
23	,	PUNCT	5	punct
24	a	CCONJ	5	cc
25	právě	ADV	24	advmod:emph
26	proto	ADV	46	advmod
27	,	PUNCT	27	punct
28	že	SCONJ	27	mark
29	pochopil	VERB	46	advcl
30	,	PUNCT	31	punct
31	jak	ADV	31	advmod
32	spolu	ADV	31	advmod
33	souvisí	VERB	27	ccomp
34	dva	NUM	35	nummod
35	různě	ADV	34	advmod
36	dlouhé	ADJ	35	amod
37	stíny	NOUN	31	nsubj
38	vržené	ADJ	35	amod
39	stejnými	ADJ	38	amod
40	tyčemi	NOUN	36	obl
41	ve	ADP	41	case
42	stejnou	ADJ	41	amod
43	dobu	NOUN	36	obl
44	na	ADP	44	case
45	různých	ADJ	44	amod
46	místech	NOUN	36	obl
47	,	PUNCT	27	punct
48	nešlo	VERB	5	orphan
49	o	ADP	49	case
50	nějaké	DET	49	det
51	navyknutí	NOUN	46	obl:arg
52	si	PRON	49	nmod
53	.	PUNCT	2	punct