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: PASNet mimo jiné umožňuje, aby akademická pracoviště mohla rychle (155 megabitů za sekundu) a spolehlivě komunikovat se superpočítačovým střediskem vysokých škol, umístěným v Ústavu výpočetní techniky Univerzity Karlovy.
Position	Tokenization	UPOS	Head	Deprel
1	PASNet	PROPN	4	nsubj
2	mimo	ADP	3	case
3	jiné	ADJ	4	obl
4	umožňuje	VERB	0	root
5	,	PUNCT	10	punct
6	aby	_	None	_
7	aby	SCONJ	10	mark
8	by	AUX	10	aux
9	akademická	ADJ	9	amod
10	pracoviště	NOUN	10	nsubj
11	mohla	VERB	4	ccomp
12	rychle	ADV	20	advmod
13	(	PUNCT	11	punct
14	155	NUM	14	nummod:gov
15	megabitů	NOUN	11	dep
16	za	ADP	16	case
17	sekundu	NOUN	14	nmod
18	)	PUNCT	11	punct
19	a	CCONJ	19	cc
20	spolehlivě	ADV	11	conj
21	komunikovat	VERB	10	xcomp
22	se	ADP	23	case
23	superpočítačovým	ADJ	23	amod
24	střediskem	NOUN	20	obl:arg
25	vysokých	ADJ	25	amod
26	škol	NOUN	23	nmod
27	,	PUNCT	27	punct
28	umístěným	ADJ	23	amod
29	v	ADP	29	case
30	Ústavu	NOUN	27	obl
31	výpočetní	ADJ	31	amod
32	techniky	NOUN	29	nmod
33	Univerzity	NOUN	31	nmod
34	Karlovy	ADJ	32	amod
35	.	PUNCT	4	punct