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 text: J. Machalický však ve svém konkurzu na ředitele Národní galerie jde ještě dál, když žádá, aby vytvořil podmínky pro práci podřízených, zjednodušil systém a vytvořil moderní dynamickou instituci na správných místech proporcionálně rozšiřovanou a redukovanou.
Position	Tokenization	UPOS	Head	Deprel
1	J	PROPN	12	nsubj
2	.	PUNCT	1	punct
3	Machalický	PROPN	1	flat
4	však	CCONJ	12	cc
5	ve	ADP	7	case
6	svém	DET	7	det
7	konkurzu	NOUN	12	obl
8	na	ADP	9	case
9	ředitele	NOUN	7	nmod
10	Národní	ADJ	11	amod
11	galerie	NOUN	9	nmod
12	jde	VERB	0	root
13	ještě	ADV	14	advmod:emph
14	dál	ADV	12	advmod
15	,	PUNCT	17	punct
16	když	SCONJ	17	mark
17	žádá	VERB	12	advcl
18	,	PUNCT	21	punct
19	aby	_	None	_
20	aby	SCONJ	21	mark
21	by	AUX	21	aux
22	vytvořil	VERB	17	ccomp
23	podmínky	NOUN	21	obj
24	pro	ADP	24	case
25	práci	NOUN	22	nmod
26	podřízených	ADJ	24	dep
27	,	PUNCT	27	punct
28	zjednodušil	VERB	21	conj
29	systém	NOUN	27	obj
30	a	CCONJ	30	cc
31	vytvořil	VERB	21	conj
32	moderní	ADJ	33	amod
33	dynamickou	ADJ	33	amod
34	instituci	NOUN	30	obj
35	na	ADP	36	case
36	správných	ADJ	36	amod
37	místech	NOUN	33	nmod
38	proporcionálně	ADV	38	advmod
39	rozšiřovanou	ADJ	36	conj
40	a	CCONJ	40	cc
41	redukovanou	ADJ	36	conj
42	.	PUNCT	12	punct