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:
"Mělo by rovněž dojít k novelizaci trestního zákona, kde by měly být mj. rozlišeny drogy měkké a tvrdé a množství drog, za které lze stíhat."
Postion	Tokenization
1	"
2	Mělo
3	by
4	rovněž
5	dojít
6	k
7	novelizaci
8	trestního
9	zákona
10	,
11	kde
12	by
13	měly
14	být
15	mj
16	.
17	rozlišeny
18	drogy
19	měkké
20	a
21	tvrdé
22	a
23	množství
24	drog
25	,
26	za
27	které
28	lze
29	stíhat
30	.
31	"
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Mělo	VERB	0	root
3	by	AUX	2	aux
4	rovněž	ADV	2	advmod
5	dojít	VERB	2	xcomp
6	k	ADP	7	case
7	novelizaci	NOUN	5	obl
8	trestního	ADJ	9	amod
9	zákona	NOUN	7	nmod
10	,	PUNCT	13	punct
11	kde	ADV	13	advmod
12	by	AUX	13	aux
13	měly	VERB	9	acl:relcl
14	být	AUX	17	aux:pass
15	mj	ADV	17	advmod
16	.	PUNCT	15	punct
17	rozlišeny	ADJ	13	obj
18	drogy	NOUN	13	nsubj
19	měkké	ADJ	18	amod
20	a	CCONJ	21	cc
21	tvrdé	ADJ	19	conj
22	a	CCONJ	23	cc
23	množství	NOUN	18	conj
24	drog	NOUN	23	nmod
25	,	PUNCT	28	punct
26	za	ADP	27	case
27	které	DET	29	obl:arg
28	lze	VERB	23	acl:relcl
29	stíhat	VERB	28	csubj
30	.	PUNCT	2	punct
31	"	PUNCT	2	punct