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:
Znovu se může do lesa i na Českolipsku, kde původně vyhlásil Okresní úřad zákaz vstupu do lesa na celý srpen, ale minulý týden nařízení odvolal.
Postion	Tokenization
1	Znovu
2	se
3	může
4	do
5	lesa
6	i
7	na
8	Českolipsku
9	,
10	kde
11	původně
12	vyhlásil
13	Okresní
14	úřad
15	zákaz
16	vstupu
17	do
18	lesa
19	na
20	celý
21	srpen
22	,
23	ale
24	minulý
25	týden
26	nařízení
27	odvolal
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Znovu	ADV	3	advmod
2	se	PRON	3	expl:pass
3	může	VERB	0	root
4	do	ADP	5	case
5	lesa	NOUN	3	obl
6	i	CCONJ	8	advmod:emph
7	na	ADP	8	case
8	Českolipsku	PROPN	5	nmod
9	,	PUNCT	12	punct
10	kde	ADV	12	advmod
11	původně	ADV	12	advmod
12	vyhlásil	VERB	8	acl:relcl
13	Okresní	ADJ	14	amod
14	úřad	NOUN	12	nsubj
15	zákaz	NOUN	12	obj
16	vstupu	NOUN	15	nmod
17	do	ADP	18	case
18	lesa	NOUN	16	nmod
19	na	ADP	21	case
20	celý	ADJ	21	amod
21	srpen	NOUN	12	obl
22	,	PUNCT	27	punct
23	ale	CCONJ	27	cc
24	minulý	ADJ	25	amod
25	týden	NOUN	27	obl
26	nařízení	NOUN	27	obj
27	odvolal	VERB	12	conj
28	.	PUNCT	3	punct