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:
Jestliže dnes za surové dříví z jednoho hektaru dospělého smrkového lesa může utržit asi 350 tisíc korun, zhruba 140 tisíc korun z toho musí vynaložit na založení, ošetřování a výchovu dalšího porostu.
Postion	Tokenization
1	Jestliže
2	dnes
3	za
4	surové
5	dříví
6	z
7	jednoho
8	hektaru
9	dospělého
10	smrkového
11	lesa
12	může
13	utržit
14	asi
15	350
16	tisíc
17	korun
18	,
19	zhruba
20	140
21	tisíc
22	korun
23	z
24	toho
25	musí
26	vynaložit
27	na
28	založení
29	,
30	ošetřování
31	a
32	výchovu
33	dalšího
34	porostu
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Jestliže	SCONJ	12	mark
2	dnes	ADV	12	advmod
3	za	ADP	5	case
4	surové	ADJ	5	amod
5	dříví	NOUN	13	obl:arg
6	z	ADP	8	case
7	jednoho	NUM	8	nummod
8	hektaru	NOUN	5	nmod
9	dospělého	ADJ	11	amod
10	smrkového	ADJ	11	amod
11	lesa	NOUN	8	nmod
12	může	VERB	25	advcl
13	utržit	VERB	12	xcomp
14	asi	PART	15	advmod:emph
15	350	NUM	17	nummod:gov
16	tisíc	NUM	17	nummod:gov
17	korun	NOUN	13	obj
18	,	PUNCT	12	punct
19	zhruba	ADV	20	advmod:emph
20	140	NUM	22	nummod:gov
21	tisíc	NUM	22	nummod:gov
22	korun	NOUN	25	iobj
23	z	ADP	24	case
24	toho	DET	22	det
25	musí	VERB	0	root
26	vynaložit	VERB	25	xcomp
27	na	ADP	28	case
28	založení	NOUN	26	obl:arg
29	,	PUNCT	30	punct
30	ošetřování	NOUN	28	conj
31	a	CCONJ	32	cc
32	výchovu	NOUN	28	conj
33	dalšího	ADJ	34	amod
34	porostu	NOUN	28	nmod
35	.	PUNCT	25	punct