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:
Magistrát, uchvácený vidinou miliónových zisků, však reagoval teprve na veřejné zasedání grémia z 21. listopadu a zvláště na dopis prezidenta Václava Havla z 29. listopadu.
Postion	Tokenization
1	Magistrát
2	,
3	uchvácený
4	vidinou
5	miliónových
6	zisků
7	,
8	však
9	reagoval
10	teprve
11	na
12	veřejné
13	zasedání
14	grémia
15	z
16	21
17	.
18	listopadu
19	a
20	zvláště
21	na
22	dopis
23	prezidenta
24	Václava
25	Havla
26	z
27	29
28	.
29	listopadu
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Magistrát	NOUN	9	nsubj
2	,	PUNCT	3	punct
3	uchvácený	ADJ	1	amod
4	vidinou	NOUN	3	obl:arg
5	miliónových	ADJ	6	amod
6	zisků	NOUN	4	nmod
7	,	PUNCT	3	punct
8	však	CCONJ	9	cc
9	reagoval	VERB	0	root
10	teprve	ADV	13	advmod:emph
11	na	ADP	13	case
12	veřejné	ADJ	13	amod
13	zasedání	NOUN	9	obl:arg
14	grémia	NOUN	13	nmod
15	z	ADP	18	case
16	21	NUM	18	nummod
17	.	PUNCT	16	punct
18	listopadu	NOUN	13	nmod
19	a	CCONJ	22	cc
20	zvláště	ADV	22	advmod:emph
21	na	ADP	22	case
22	dopis	NOUN	13	conj
23	prezidenta	NOUN	22	nmod
24	Václava	PROPN	23	flat
25	Havla	PROPN	23	flat
26	z	ADP	29	case
27	29	NUM	29	nummod
28	.	PUNCT	27	punct
29	listopadu	NOUN	22	nmod
30	.	PUNCT	9	punct