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:
Běžný účet pro občany, který slouží ke stejnému účelu jako sporožiro České spořitelny, nabízí svým klientům spolu s dalšími peněžními ústavy rovněž Komerční banka.
Postion	Tokenization
1	Běžný
2	účet
3	pro
4	občany
5	,
6	který
7	slouží
8	ke
9	stejnému
10	účelu
11	jako
12	sporožiro
13	České
14	spořitelny
15	,
16	nabízí
17	svým
18	klientům
19	spolu
20	s
21	dalšími
22	peněžními
23	ústavy
24	rovněž
25	Komerční
26	banka
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Běžný	ADJ	2	amod
2	účet	NOUN	16	obj
3	pro	ADP	4	case
4	občany	NOUN	2	nmod
5	,	PUNCT	7	punct
6	který	DET	7	nsubj
7	slouží	VERB	2	acl:relcl
8	ke	ADP	10	case
9	stejnému	ADJ	10	amod
10	účelu	NOUN	7	obl:arg
11	jako	SCONJ	12	mark
12	sporožiro	NOUN	9	advcl
13	České	ADJ	14	amod
14	spořitelny	NOUN	12	nmod
15	,	PUNCT	7	punct
16	nabízí	VERB	0	root
17	svým	DET	18	det
18	klientům	NOUN	16	obl:arg
19	spolu	ADV	23	case
20	s	ADP	19	fixed
21	dalšími	ADJ	23	amod
22	peněžními	ADJ	23	amod
23	ústavy	NOUN	16	obl
24	rovněž	ADV	26	advmod:emph
25	Komerční	ADJ	26	amod
26	banka	NOUN	16	nsubj
27	.	PUNCT	16	punct