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:
Lesní akciové společnosti (předpokládá se, že jich vznikne kolem stovky) by fungovaly pouze jako dodavatelé prací objednaných Lesy ČR a nebyly by vlastníkem půdy ani lesa.
Postion	Tokenization
1	Lesní
2	akciové
3	společnosti
4	(
5	předpokládá
6	se
7	,
8	že
9	jich
10	vznikne
11	kolem
12	stovky
13	)
14	by
15	fungovaly
16	pouze
17	jako
18	dodavatelé
19	prací
20	objednaných
21	Lesy
22	ČR
23	a
24	nebyly
25	by
26	vlastníkem
27	půdy
28	ani
29	lesa
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Lesní	ADJ	3	amod
2	akciové	ADJ	3	amod
3	společnosti	NOUN	15	nsubj
4	(	PUNCT	5	punct
5	předpokládá	VERB	15	parataxis
6	se	PRON	5	expl:pass
7	,	PUNCT	10	punct
8	že	SCONJ	10	mark
9	jich	PRON	12	nmod
10	vznikne	VERB	5	ccomp
11	kolem	ADP	12	case
12	stovky	NOUN	10	nsubj
13	)	PUNCT	5	punct
14	by	AUX	15	aux
15	fungovaly	VERB	0	root
16	pouze	ADV	18	advmod:emph
17	jako	SCONJ	18	mark
18	dodavatelé	NOUN	3	xcomp
19	prací	NOUN	18	nmod
20	objednaných	ADJ	19	amod
21	Lesy	NOUN	20	obl:arg
22	ČR	PROPN	21	nmod
23	a	CCONJ	26	cc
24	nebyly	AUX	26	cop
25	by	AUX	26	aux
26	vlastníkem	NOUN	15	conj
27	půdy	NOUN	26	nmod
28	ani	CCONJ	29	cc
29	lesa	NOUN	27	conj
30	.	PUNCT	15	punct