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:
V souvislosti s tímto případem bylo zadrženo i několik dalších osob a nelze vyloučit, že jsou mezi nimi i vrazi Ludviky Jonákové, tvrdí Nova.
Postion	Tokenization
1	V
2	souvislosti
3	s
4	tímto
5	případem
6	bylo
7	zadrženo
8	i
9	několik
10	dalších
11	osob
12	a
13	nelze
14	vyloučit
15	,
16	že
17	jsou
18	mezi
19	nimi
20	i
21	vrazi
22	Ludviky
23	Jonákové
24	,
25	tvrdí
26	Nova
27	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	5	case
2	souvislosti	NOUN	1	fixed
3	s	ADP	1	fixed
4	tímto	DET	5	det
5	případem	NOUN	7	obl
6	bylo	AUX	7	aux:pass
7	zadrženo	ADJ	25	obj
8	i	CCONJ	9	advmod:emph
9	několik	DET	11	det:numgov
10	dalších	ADJ	11	amod
11	osob	NOUN	7	nsubj:pass
12	a	CCONJ	13	cc
13	nelze	VERB	7	conj
14	vyloučit	VERB	13	csubj
15	,	PUNCT	17	punct
16	že	SCONJ	17	mark
17	jsou	VERB	14	ccomp
18	mezi	ADP	19	case
19	nimi	PRON	17	obl
20	i	CCONJ	21	advmod:emph
21	vrazi	NOUN	17	nsubj
22	Ludviky	PROPN	21	nmod
23	Jonákové	PROPN	22	flat
24	,	PUNCT	7	punct
25	tvrdí	VERB	0	root
26	Nova	PROPN	25	nsubj
27	.	PUNCT	25	punct