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:
Nejmenovaný policista by se měl zaměřit na to, kolik odhalili a zatkli osob z řad pašeráků a překupníků a jak řešili nebo řeší pěstování marihuany na FKP."
Postion	Tokenization
1	Nejmenovaný
2	policista
3	by
4	se
5	měl
6	zaměřit
7	na
8	to
9	,
10	kolik
11	odhalili
12	a
13	zatkli
14	osob
15	z
16	řad
17	pašeráků
18	a
19	překupníků
20	a
21	jak
22	řešili
23	nebo
24	řeší
25	pěstování
26	marihuany
27	na
28	FKP
29	.
30	"
Position	Tokenization	UPOS	Head	Deprel
1	Nejmenovaný	ADJ	2	amod
2	policista	NOUN	5	nsubj
3	by	AUX	5	aux
4	se	PRON	6	expl:pv
5	měl	VERB	0	root
6	zaměřit	VERB	5	xcomp
7	na	ADP	8	case
8	to	DET	6	obl
9	,	PUNCT	11	punct
10	kolik	DET	14	det:numgov
11	odhalili	VERB	8	acl
12	a	CCONJ	13	cc
13	zatkli	VERB	11	conj
14	osob	NOUN	11	obj
15	z	ADP	16	case
16	řad	NOUN	14	nmod
17	pašeráků	NOUN	16	nmod
18	a	CCONJ	19	cc
19	překupníků	NOUN	17	conj
20	a	CCONJ	22	cc
21	jak	ADV	22	advmod
22	řešili	VERB	11	conj
23	nebo	CCONJ	24	cc
24	řeší	VERB	22	conj
25	pěstování	NOUN	22	obj
26	marihuany	NOUN	25	nmod
27	na	ADP	28	case
28	FKP	PROPN	22	obl
29	.	PUNCT	5	punct
30	"	PUNCT	5	punct