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:
Bohužel právní normy umožňovaly, aby několikrát trestanému člověku vydala policie zbrojní pas na základě posudku píseckého lékaře- internisty, který žadatele prakticky neznal.
Postion	Tokenization
1	Bohužel
2	právní
3	normy
4	umožňovaly
5	,
6	aby
7	aby
8	by
9	několikrát
10	trestanému
11	člověku
12	vydala
13	policie
14	zbrojní
15	pas
16	na
17	základě
18	posudku
19	píseckého
20	lékaře
21	-
22	internisty
23	,
24	který
25	žadatele
26	prakticky
27	neznal
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Bohužel	PART	4	advmod
2	právní	ADJ	3	amod
3	normy	NOUN	4	nsubj
4	umožňovaly	VERB	0	root
5	,	PUNCT	11	punct
6	aby	_	None	_
7	aby	SCONJ	11	mark
8	by	AUX	11	aux
9	několikrát	ADV	9	obl
10	trestanému	ADJ	10	amod
11	člověku	NOUN	11	obl:arg
12	vydala	VERB	4	ccomp
13	policie	NOUN	11	nsubj
14	zbrojní	ADJ	14	amod
15	pas	NOUN	11	obj
16	na	ADP	17	case
17	základě	NOUN	15	fixed
18	posudku	NOUN	11	obl
19	píseckého	ADJ	19	amod
20	lékaře	NOUN	17	nmod
21	-	PUNCT	21	punct
22	internisty	NOUN	19	appos
23	,	PUNCT	26	punct
24	který	DET	26	nsubj
25	žadatele	NOUN	26	obj
26	prakticky	ADV	26	advmod
27	neznal	VERB	21	acl:relcl
28	.	PUNCT	4	punct