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:
Rozdíl nebyl nikterak závratný, ale napovídá, že by celkový týdenní objem mohl být ještě vyšší než v minulém týdnu, kdy dosáhl asi 697 mil. Kč.
Postion	Tokenization
1	Rozdíl
2	nebyl
3	nikterak
4	závratný
5	,
6	ale
7	napovídá
8	,
9	že
10	by
11	celkový
12	týdenní
13	objem
14	mohl
15	být
16	ještě
17	vyšší
18	než
19	v
20	minulém
21	týdnu
22	,
23	kdy
24	dosáhl
25	asi
26	697
27	mil
28	.
29	Kč
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Rozdíl	NOUN	4	nsubj
2	nebyl	AUX	4	cop
3	nikterak	ADV	4	advmod
4	závratný	ADJ	0	root
5	,	PUNCT	7	punct
6	ale	CCONJ	7	cc
7	napovídá	VERB	4	conj
8	,	PUNCT	14	punct
9	že	SCONJ	14	mark
10	by	AUX	14	aux
11	celkový	ADJ	13	amod
12	týdenní	ADJ	13	amod
13	objem	NOUN	14	nsubj
14	mohl	VERB	7	ccomp
15	být	AUX	17	cop
16	ještě	ADV	17	advmod:emph
17	vyšší	ADJ	14	xcomp
18	než	SCONJ	21	mark
19	v	ADP	21	case
20	minulém	ADJ	21	amod
21	týdnu	NOUN	17	dep
22	,	PUNCT	24	punct
23	kdy	ADV	24	advmod
24	dosáhl	VERB	21	acl:relcl
25	asi	PART	27	advmod:emph
26	697	NUM	27	nummod
27	mil	NOUN	29	nmod
28	.	PUNCT	27	punct
29	Kč	NOUN	24	obj
30	.	PUNCT	4	punct