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:
Podle premiéra Klause je přímo varující, že zákon o lesích např. přikazuje, jakým ekologickým druhem oleje plnit motorové pily při práci v lese.
Postion	Tokenization
1	Podle
2	premiéra
3	Klause
4	je
5	přímo
6	varující
7	,
8	že
9	zákon
10	o
11	lesích
12	např
13	.
14	přikazuje
15	,
16	jakým
17	ekologickým
18	druhem
19	oleje
20	plnit
21	motorové
22	pily
23	při
24	práci
25	v
26	lese
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	premiéra	NOUN	6	obl
3	Klause	PROPN	2	flat
4	je	AUX	6	cop
5	přímo	ADV	6	advmod:emph
6	varující	ADJ	0	root
7	,	PUNCT	14	punct
8	že	SCONJ	14	mark
9	zákon	NOUN	14	nsubj
10	o	ADP	11	case
11	lesích	NOUN	9	nmod
12	např	ADV	14	advmod:emph
13	.	PUNCT	12	punct
14	přikazuje	VERB	6	csubj
15	,	PUNCT	20	punct
16	jakým	DET	18	det
17	ekologickým	ADJ	18	amod
18	druhem	NOUN	20	obl
19	oleje	NOUN	18	nmod
20	plnit	VERB	14	xcomp
21	motorové	ADJ	22	amod
22	pily	NOUN	20	obj
23	při	ADP	24	case
24	práci	NOUN	20	obl
25	v	ADP	26	case
26	lese	NOUN	24	nmod
27	.	PUNCT	6	punct