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:
Jak uvedl finanční náměstek generálního ředitele ZVVZ Miloslav Mácha, byl v prvním čtvrtletí překročen hospodářský plán o 200 tisíc korun, ale nedaří se plnit plán produkce.
Postion	Tokenization
1	Jak
2	uvedl
3	finanční
4	náměstek
5	generálního
6	ředitele
7	ZVVZ
8	Miloslav
9	Mácha
10	,
11	byl
12	v
13	prvním
14	čtvrtletí
15	překročen
16	hospodářský
17	plán
18	o
19	200
20	tisíc
21	korun
22	,
23	ale
24	nedaří
25	se
26	plnit
27	plán
28	produkce
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Jak	ADV	2	advmod
2	uvedl	VERB	15	parataxis
3	finanční	ADJ	4	amod
4	náměstek	NOUN	2	nsubj
5	generálního	ADJ	6	amod
6	ředitele	NOUN	4	nmod
7	ZVVZ	PROPN	6	nmod
8	Miloslav	PROPN	7	nmod
9	Mácha	PROPN	4	flat
10	,	PUNCT	2	punct
11	byl	AUX	15	cop
12	v	ADP	14	case
13	prvním	ADJ	14	amod
14	čtvrtletí	NOUN	15	obl
15	překročen	ADJ	0	root
16	hospodářský	ADJ	17	amod
17	plán	NOUN	15	nsubj
18	o	ADP	21	case
19	200	NUM	21	nummod:gov
20	tisíc	NUM	21	nummod:gov
21	korun	NOUN	15	obl
22	,	PUNCT	24	punct
23	ale	CCONJ	24	cc
24	nedaří	VERB	15	conj
25	se	PRON	24	expl:pv
26	plnit	VERB	24	csubj
27	plán	NOUN	26	obj
28	produkce	NOUN	27	nmod
29	.	PUNCT	15	punct