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:
Vyšší rezervy banka vytvořila nejen z důvodů přísnější klasifikace úvěrů, ale i kvůli portfoliu cenných papírů, jehož hodnotu banka loni zdvojnásobila.
Postion	Tokenization
1	Vyšší
2	rezervy
3	banka
4	vytvořila
5	nejen
6	z
7	důvodů
8	přísnější
9	klasifikace
10	úvěrů
11	,
12	ale
13	i
14	kvůli
15	portfoliu
16	cenných
17	papírů
18	,
19	jehož
20	hodnotu
21	banka
22	loni
23	zdvojnásobila
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Vyšší	ADJ	2	amod
2	rezervy	NOUN	4	obj
3	banka	NOUN	4	nsubj
4	vytvořila	VERB	0	root
5	nejen	PART	7	advmod:emph
6	z	ADP	7	case
7	důvodů	NOUN	4	obl
8	přísnější	ADJ	9	amod
9	klasifikace	NOUN	7	nmod
10	úvěrů	NOUN	9	nmod
11	,	PUNCT	15	punct
12	ale	CCONJ	15	cc
13	i	CCONJ	15	advmod:emph
14	kvůli	ADP	15	case
15	portfoliu	NOUN	7	conj
16	cenných	ADJ	17	amod
17	papírů	NOUN	15	nmod
18	,	PUNCT	23	punct
19	jehož	PRON	20	nmod
20	hodnotu	NOUN	23	obj
21	banka	NOUN	23	nsubj
22	loni	ADV	23	advmod
23	zdvojnásobila	VERB	15	acl:relcl
24	.	PUNCT	4	punct