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:
Kladenský mecenáš Martin Michal ihned zareagoval: Pan Bubeník byl odvolán z funkce vedoucího mužstva a bude se starat o rekonstrukci stadionu, na niž se chystáme.
Postion	Tokenization
1	Kladenský
2	mecenáš
3	Martin
4	Michal
5	ihned
6	zareagoval
7	:
8	Pan
9	Bubeník
10	byl
11	odvolán
12	z
13	funkce
14	vedoucího
15	mužstva
16	a
17	bude
18	se
19	starat
20	o
21	rekonstrukci
22	stadionu
23	,
24	na
25	niž
26	se
27	chystáme
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Kladenský	ADJ	2	amod
2	mecenáš	NOUN	6	nsubj
3	Martin	PROPN	2	flat
4	Michal	PROPN	2	flat
5	ihned	ADV	6	advmod
6	zareagoval	VERB	0	root
7	:	PUNCT	11	punct
8	Pan	NOUN	11	nsubj:pass
9	Bubeník	PROPN	8	flat
10	byl	AUX	11	aux:pass
11	odvolán	ADJ	6	conj
12	z	ADP	13	case
13	funkce	NOUN	11	obl
14	vedoucího	NOUN	15	nmod
15	mužstva	NOUN	13	nmod
16	a	CCONJ	19	cc
17	bude	AUX	19	aux
18	se	PRON	19	expl:pv
19	starat	VERB	11	conj
20	o	ADP	21	case
21	rekonstrukci	NOUN	19	obl:arg
22	stadionu	NOUN	21	nmod
23	,	PUNCT	27	punct
24	na	ADP	25	case
25	niž	PRON	27	obl
26	se	PRON	27	expl:pv
27	chystáme	VERB	21	acl:relcl
28	.	PUNCT	6	punct