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:
Úřad vyšetřování v Praze 5 nedospěl k závěru, že by v případě zraněného člena prezidentovy ochranky J . F. spáchal lékař z nemocnice Na Homolce trestný čin.
Postion	Tokenization
1	Úřad
2	vyšetřování
3	v
4	Praze
5	5
6	nedospěl
7	k
8	závěru
9	,
10	že
11	by
12	v
13	případě
14	zraněného
15	člena
16	prezidentovy
17	ochranky
18	J
19	.
20	F
21	.
22	spáchal
23	lékař
24	z
25	nemocnice
26	Na
27	Homolce
28	trestný
29	čin
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Úřad	NOUN	6	nsubj
2	vyšetřování	NOUN	1	nmod
3	v	ADP	4	case
4	Praze	PROPN	1	nmod
5	5	NUM	4	nummod
6	nedospěl	VERB	0	root
7	k	ADP	8	case
8	závěru	NOUN	6	obl:arg
9	,	PUNCT	22	punct
10	že	SCONJ	22	mark
11	by	AUX	22	aux
12	v	ADP	13	case
13	případě	NOUN	22	obl
14	zraněného	ADJ	15	amod
15	člena	NOUN	18	nmod
16	prezidentovy	ADJ	17	amod
17	ochranky	NOUN	15	nmod
18	J	PROPN	13	nmod
19	.	PUNCT	18	punct
20	F	PROPN	18	flat
21	.	PUNCT	18	punct
22	spáchal	VERB	8	acl
23	lékař	NOUN	22	nsubj
24	z	ADP	25	case
25	nemocnice	NOUN	23	nmod
26	Na	ADP	27	case
27	Homolce	PROPN	25	nmod
28	trestný	ADJ	29	amod
29	čin	NOUN	22	obj
30	.	PUNCT	6	punct