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:
Ruský centr Semjonov bral loni v Edmontonu 265000 dolarů, v Tampě to bude letos 310000 (nejvíc z útočníků) a během čtyř let by se jeho plat měl dostat až k 460000.
Postion	Tokenization
1	Ruský
2	centr
3	Semjonov
4	bral
5	loni
6	v
7	Edmontonu
8	265000
9	dolarů
10	,
11	v
12	Tampě
13	to
14	bude
15	letos
16	310000
17	(
18	nejvíc
19	z
20	útočníků
21	)
22	a
23	během
24	čtyř
25	let
26	by
27	se
28	jeho
29	plat
30	měl
31	dostat
32	až
33	k
34	460000
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Ruský	ADJ	2	amod
2	centr	NOUN	4	nsubj
3	Semjonov	PROPN	2	flat
4	bral	VERB	0	root
5	loni	ADV	4	advmod
6	v	ADP	7	case
7	Edmontonu	PROPN	4	obl
8	265000	NUM	9	nummod:gov
9	dolarů	NOUN	4	obj
10	,	PUNCT	16	punct
11	v	ADP	12	case
12	Tampě	PROPN	16	obl
13	to	DET	16	nsubj
14	bude	AUX	16	cop
15	letos	ADV	16	advmod
16	310000	NUM	4	conj
17	(	PUNCT	16	punct
18	nejvíc	ADV	16	dep
19	z	ADP	20	case
20	útočníků	NOUN	16	dep
21	)	PUNCT	16	punct
22	a	CCONJ	30	cc
23	během	ADP	25	case
24	čtyř	NUM	25	nummod
25	let	NOUN	30	obl
26	by	AUX	30	aux
27	se	PRON	31	expl:pv
28	jeho	DET	29	det
29	plat	NOUN	30	nsubj
30	měl	VERB	4	conj
31	dostat	VERB	30	xcomp
32	až	PART	34	advmod:emph
33	k	ADP	34	case
34	460000	NUM	31	obl:arg
35	.	PUNCT	4	punct