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:
Podle jeho slov půl milionu dolarů převedla Keetley na konto společnosti Anglo Czech Trading, odkud tuto částku převedl bývalý viceprezident Bohemie Jiří Čadek na účet vlastní firmy SAOP.
Postion	Tokenization
1	Podle
2	jeho
3	slov
4	půl
5	milionu
6	dolarů
7	převedla
8	Keetley
9	na
10	konto
11	společnosti
12	Anglo
13	Czech
14	Trading
15	,
16	odkud
17	tuto
18	částku
19	převedl
20	bývalý
21	viceprezident
22	Bohemie
23	Jiří
24	Čadek
25	na
26	účet
27	vlastní
28	firmy
29	SAOP
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	3	case
2	jeho	DET	3	det
3	slov	NOUN	7	obl
4	půl	NOUN	7	obj
5	milionu	NOUN	4	nmod
6	dolarů	NOUN	5	nmod
7	převedla	VERB	0	root
8	Keetley	PROPN	7	nsubj
9	na	ADP	10	case
10	konto	NOUN	7	obl
11	společnosti	NOUN	10	nmod
12	Anglo	ADJ	11	nmod
13	Czech	ADJ	12	flat:foreign
14	Trading	PROPN	12	flat:foreign
15	,	PUNCT	19	punct
16	odkud	ADV	19	advmod
17	tuto	DET	18	det
18	částku	NOUN	19	obj
19	převedl	VERB	11	acl:relcl
20	bývalý	ADJ	21	amod
21	viceprezident	NOUN	19	nsubj
22	Bohemie	PROPN	21	nmod
23	Jiří	PROPN	21	flat
24	Čadek	PROPN	21	flat
25	na	ADP	26	case
26	účet	NOUN	19	obl
27	vlastní	ADJ	28	amod
28	firmy	NOUN	26	nmod
29	SAOP	PROPN	28	nmod
30	.	PUNCT	7	punct