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: Dvakrát zareagovala výrazně pozdě, potřetí svou ostražitost zase přehnala, když zatkla studenta medicíny stojícího ve skupině, která právě vůbec nic nedemonstrovala, pouze hlučně prodiskutovávala výsledky demonstrací předchozích dnů.
Position	Tokenization	UPOS	Head	Deprel
1	Dvakrát	ADV	2	obl
2	zareagovala	VERB	0	root
3	výrazně	ADV	4	advmod
4	pozdě	ADV	2	advmod
5	,	PUNCT	10	punct
6	potřetí	ADV	10	obl
7	svou	DET	8	det
8	ostražitost	NOUN	10	obj
9	zase	ADV	10	advmod
10	přehnala	VERB	2	conj
11	,	PUNCT	13	punct
12	když	SCONJ	13	mark
13	zatkla	VERB	10	advcl
14	studenta	NOUN	13	obj
15	medicíny	NOUN	14	nmod
16	stojícího	ADJ	14	amod
17	ve	ADP	18	case
18	skupině	NOUN	16	obl
19	,	PUNCT	24	punct
20	která	DET	24	nsubj
21	právě	ADV	24	advmod
22	vůbec	ADV	23	advmod:emph
23	nic	PRON	24	obj
24	nedemonstrovala	VERB	18	acl:relcl
25	,	PUNCT	28	punct
26	pouze	ADV	28	advmod
27	hlučně	ADV	28	advmod
28	prodiskutovávala	VERB	24	conj
29	výsledky	NOUN	28	obj
30	demonstrací	NOUN	29	nmod
31	předchozích	ADJ	32	amod
32	dnů	NOUN	30	nmod
33	.	PUNCT	2	punct