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:
To je základní informace, z níž se pak odvíjí úvahy o vývoji míry nezaměstnanosti, inflace či dalších parametrů transformačního procesu české ekonomiky pro nejbližší dva roky.
Postion	Tokenization
1	To
2	je
3	základní
4	informace
5	,
6	z
7	níž
8	se
9	pak
10	odvíjí
11	úvahy
12	o
13	vývoji
14	míry
15	nezaměstnanosti
16	,
17	inflace
18	či
19	dalších
20	parametrů
21	transformačního
22	procesu
23	české
24	ekonomiky
25	pro
26	nejbližší
27	dva
28	roky
29	.
Position	Tokenization	UPOS	Head	Deprel
1	To	DET	4	nsubj
2	je	AUX	4	cop
3	základní	ADJ	4	amod
4	informace	NOUN	0	root
5	,	PUNCT	10	punct
6	z	ADP	7	case
7	níž	PRON	10	obl
8	se	PRON	10	expl:pass
9	pak	ADV	10	advmod
10	odvíjí	VERB	4	acl:relcl
11	úvahy	NOUN	10	nsubj:pass
12	o	ADP	13	case
13	vývoji	NOUN	11	nmod
14	míry	NOUN	13	nmod
15	nezaměstnanosti	NOUN	14	nmod
16	,	PUNCT	17	punct
17	inflace	NOUN	14	conj
18	či	CCONJ	20	cc
19	dalších	ADJ	20	amod
20	parametrů	NOUN	14	conj
21	transformačního	ADJ	22	amod
22	procesu	NOUN	20	nmod
23	české	ADJ	24	amod
24	ekonomiky	NOUN	22	nmod
25	pro	ADP	28	case
26	nejbližší	ADJ	28	amod
27	dva	NUM	28	nummod
28	roky	NOUN	13	nmod
29	.	PUNCT	4	punct