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:
Přibližování velkých vzdáleností tedy nesmíme podřizovat zákonům klasického geometrického prostoru, neboť tím bychom činili předpoklad, že reálný prostor je klasickým geometrickým prostorem.
Postion	Tokenization
1	Přibližování
2	velkých
3	vzdáleností
4	tedy
5	nesmíme
6	podřizovat
7	zákonům
8	klasického
9	geometrického
10	prostoru
11	,
12	neboť
13	tím
14	bychom
15	činili
16	předpoklad
17	,
18	že
19	reálný
20	prostor
21	je
22	klasickým
23	geometrickým
24	prostorem
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Přibližování	NOUN	6	obj
2	velkých	ADJ	3	amod
3	vzdáleností	NOUN	1	nmod
4	tedy	ADV	5	advmod
5	nesmíme	VERB	0	root
6	podřizovat	VERB	5	xcomp
7	zákonům	NOUN	6	obl:arg
8	klasického	ADJ	10	amod
9	geometrického	ADJ	10	amod
10	prostoru	NOUN	7	nmod
11	,	PUNCT	15	punct
12	neboť	CCONJ	15	cc
13	tím	DET	15	obl
14	bychom	AUX	15	aux
15	činili	VERB	5	conj
16	předpoklad	NOUN	15	obj
17	,	PUNCT	24	punct
18	že	SCONJ	24	mark
19	reálný	ADJ	20	amod
20	prostor	NOUN	24	nsubj
21	je	AUX	24	cop
22	klasickým	ADJ	24	amod
23	geometrickým	ADJ	24	amod
24	prostorem	NOUN	16	acl
25	.	PUNCT	5	punct