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:
Kolik však zmůže plánovaných 10000 modrých přileb v době, kdy do hry vstoupil prvek, na který se během let jednání zcela zapomnělo, těžko říci.
Postion	Tokenization
1	Kolik
2	však
3	zmůže
4	plánovaných
5	10000
6	modrých
7	přileb
8	v
9	době
10	,
11	kdy
12	do
13	hry
14	vstoupil
15	prvek
16	,
17	na
18	který
19	se
20	během
21	let
22	jednání
23	zcela
24	zapomnělo
25	,
26	těžko
27	říci
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Kolik	DET	3	obj
2	však	CCONJ	27	cc
3	zmůže	VERB	27	ccomp
4	plánovaných	ADJ	5	amod
5	10000	NUM	7	nummod:gov
6	modrých	ADJ	7	amod
7	přileb	NOUN	3	nsubj
8	v	ADP	9	case
9	době	NOUN	3	obl
10	,	PUNCT	14	punct
11	kdy	ADV	14	advmod
12	do	ADP	13	case
13	hry	NOUN	14	obl
14	vstoupil	VERB	9	acl:relcl
15	prvek	NOUN	14	nsubj
16	,	PUNCT	24	punct
17	na	ADP	18	case
18	který	DET	24	obl:arg
19	se	PRON	24	expl:pass
20	během	ADP	21	case
21	let	NOUN	24	nmod
22	jednání	NOUN	21	nmod
23	zcela	ADV	24	advmod
24	zapomnělo	VERB	15	acl:relcl
25	,	PUNCT	3	punct
26	těžko	ADV	27	advmod
27	říci	VERB	0	root
28	.	PUNCT	27	punct