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:
Daleko výhodnější přitom je, když vlastník lesů má na svých pozemcích rovnoměrně zastoupeny všechny věkové kategorie lesa, od mladých stromků až po stoleté mýtní porosty.
Postion	Tokenization
1	Daleko
2	výhodnější
3	přitom
4	je
5	,
6	když
7	vlastník
8	lesů
9	má
10	na
11	svých
12	pozemcích
13	rovnoměrně
14	zastoupeny
15	všechny
16	věkové
17	kategorie
18	lesa
19	,
20	od
21	mladých
22	stromků
23	až
24	po
25	stoleté
26	mýtní
27	porosty
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Daleko	ADV	2	advmod
2	výhodnější	ADJ	0	root
3	přitom	ADV	2	advmod
4	je	AUX	2	cop
5	,	PUNCT	9	punct
6	když	SCONJ	9	mark
7	vlastník	NOUN	9	nsubj
8	lesů	NOUN	7	nmod
9	má	VERB	2	csubj
10	na	ADP	12	case
11	svých	DET	12	det
12	pozemcích	NOUN	9	obl
13	rovnoměrně	ADV	14	advmod
14	zastoupeny	ADJ	17	xcomp
15	všechny	DET	17	det
16	věkové	ADJ	17	amod
17	kategorie	NOUN	9	obj
18	lesa	NOUN	17	nmod
19	,	PUNCT	22	punct
20	od	ADP	22	case
21	mladých	ADJ	22	amod
22	stromků	NOUN	17	nmod
23	až	PART	27	advmod:emph
24	po	ADP	27	case
25	stoleté	ADJ	27	amod
26	mýtní	ADJ	27	amod
27	porosty	NOUN	17	nmod
28	.	PUNCT	2	punct