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:
Státní trenér ploché dráhy Evžen Erban předložil nabídku 35100000 korun a Rudolf Mašek se společníkem Jaroslavem Simandlem , synem zakladatele firmy, nabídku 47 milionů 600 tisíc korun.
Postion	Tokenization
1	Státní
2	trenér
3	ploché
4	dráhy
5	Evžen
6	Erban
7	předložil
8	nabídku
9	35100000
10	korun
11	_
12	a
13	Rudolf
14	Mašek
15	se
16	společníkem
17	Jaroslavem
18	Simandlem
19	,
20	synem
21	zakladatele
22	firmy
23	,
24	nabídku
25	47
26	milionů
27	600
28	tisíc
29	korun
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Státní	ADJ	2	amod
2	trenér	NOUN	7	nsubj
3	ploché	ADJ	4	amod
4	dráhy	NOUN	2	nmod
5	Evžen	PROPN	2	flat
6	Erban	PROPN	2	flat
7	předložil	VERB	0	root
8	nabídku	NOUN	7	obj
9	35100000	NUM	10	nummod:gov
10	korun	NOUN	8	nmod
11	_	_	None	_
12	a	CCONJ	12	cc
13	Rudolf	PROPN	7	conj
14	Mašek	PROPN	12	flat
15	se	ADP	15	case
16	společníkem	NOUN	12	nmod
17	Jaroslavem	PROPN	15	nmod
18	Simandlem	PROPN	16	flat
19	,	PUNCT	19	punct
20	synem	NOUN	16	appos
21	zakladatele	NOUN	19	nmod
22	firmy	NOUN	20	nmod
23	,	PUNCT	19	punct
24	nabídku	NOUN	12	orphan
25	47	NUM	25	nummod:gov
26	milionů	NOUN	23	nmod
27	600	NUM	28	nummod:gov
28	tisíc	NUM	28	nummod:gov
29	korun	NOUN	23	nmod
30	.	PUNCT	7	punct