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:
Nejvyšší grant (130 tisíc) jde na kritické vydání básnického díla Bohuslava Reynka, které pro zlínské nakladatelství Archa připravuje editorka Milada Chlíbcová.
Postion	Tokenization
1	Nejvyšší
2	grant
3	(
4	130
5	tisíc
6	)
7	jde
8	na
9	kritické
10	vydání
11	básnického
12	díla
13	Bohuslava
14	Reynka
15	,
16	které
17	pro
18	zlínské
19	nakladatelství
20	Archa
21	připravuje
22	editorka
23	Milada
24	Chlíbcová
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Nejvyšší	ADJ	2	amod
2	grant	NOUN	7	nsubj
3	(	PUNCT	4	punct
4	130	NUM	2	appos
5	tisíc	NUM	4	compound
6	)	PUNCT	4	punct
7	jde	VERB	0	root
8	na	ADP	10	case
9	kritické	ADJ	10	amod
10	vydání	NOUN	7	obl
11	básnického	ADJ	12	amod
12	díla	NOUN	10	nmod
13	Bohuslava	PROPN	12	nmod
14	Reynka	PROPN	13	flat
15	,	PUNCT	21	punct
16	které	DET	21	obj
17	pro	ADP	19	case
18	zlínské	ADJ	19	amod
19	nakladatelství	NOUN	21	obl:arg
20	Archa	NOUN	19	nmod
21	připravuje	VERB	12	acl:relcl
22	editorka	NOUN	21	nsubj
23	Milada	PROPN	22	flat
24	Chlíbcová	PROPN	22	flat
25	.	PUNCT	7	punct