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:
Místopředsedovi České strany sociálně demokratické Jaromíru Kučovi hrozí trestní stíhání za neposkytnutí pomoci, jeho synovi Matouši Kučovi navíc i za ublížení na zdraví z nedbalosti.
Postion	Tokenization
1	Místopředsedovi
2	České
3	strany
4	sociálně
5	demokratické
6	Jaromíru
7	Kučovi
8	hrozí
9	trestní
10	stíhání
11	za
12	neposkytnutí
13	pomoci
14	_
15	,
16	jeho
17	synovi
18	Matouši
19	Kučovi
20	navíc
21	i
22	za
23	ublížení
24	na
25	zdraví
26	z
27	nedbalosti
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Místopředsedovi	NOUN	8	obl:arg
2	České	ADJ	3	amod
3	strany	NOUN	1	nmod
4	sociálně	ADV	5	advmod
5	demokratické	ADJ	3	amod
6	Jaromíru	PROPN	1	flat
7	Kučovi	PROPN	1	flat
8	hrozí	VERB	0	root
9	trestní	ADJ	10	amod
10	stíhání	NOUN	8	nsubj
11	za	ADP	12	case
12	neposkytnutí	NOUN	10	nmod
13	pomoci	NOUN	12	nmod
14	_	_	None	_
15	,	PUNCT	16	punct
16	jeho	DET	16	det
17	synovi	NOUN	8	conj
18	Matouši	PROPN	16	flat
19	Kučovi	PROPN	16	flat
20	navíc	ADV	16	orphan
21	i	CCONJ	22	advmod:emph
22	za	ADP	22	case
23	ublížení	NOUN	16	orphan
24	na	ADP	24	case
25	zdraví	NOUN	22	nmod
26	z	ADP	26	case
27	nedbalosti	NOUN	22	nmod
28	.	PUNCT	8	punct