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:
Ke zvýšení kvalifikace pracovníků finančních institucí i dalších podniků chce přispět Bankovní institut, který včera představil novinářům svou nabídku vzdělávacích kurzů pro letošní rok.
Postion	Tokenization
1	Ke
2	zvýšení
3	kvalifikace
4	pracovníků
5	finančních
6	institucí
7	i
8	dalších
9	podniků
10	chce
11	přispět
12	Bankovní
13	institut
14	,
15	který
16	včera
17	představil
18	novinářům
19	svou
20	nabídku
21	vzdělávacích
22	kurzů
23	pro
24	letošní
25	rok
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Ke	ADP	2	case
2	zvýšení	NOUN	11	obl:arg
3	kvalifikace	NOUN	2	nmod
4	pracovníků	NOUN	3	nmod
5	finančních	ADJ	6	amod
6	institucí	NOUN	4	nmod
7	i	CCONJ	9	cc
8	dalších	ADJ	9	amod
9	podniků	NOUN	6	conj
10	chce	VERB	0	root
11	přispět	VERB	10	xcomp
12	Bankovní	ADJ	13	amod
13	institut	NOUN	10	nsubj
14	,	PUNCT	17	punct
15	který	DET	17	nsubj
16	včera	ADV	17	advmod
17	představil	VERB	13	acl:relcl
18	novinářům	NOUN	17	obl:arg
19	svou	DET	20	det
20	nabídku	NOUN	17	obj
21	vzdělávacích	ADJ	22	amod
22	kurzů	NOUN	20	nmod
23	pro	ADP	25	case
24	letošní	ADJ	25	amod
25	rok	NOUN	22	nmod
26	.	PUNCT	10	punct