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: Vědomé Havlovo hledání role intelektuála v prostoru poskytnutém rolí prezidenta a naplnění role prezidenta v prostoru role intelektuála jej nejen nediskvalifikuje, ale naopak v obou rolích kvalifikuje v nejlepších demokratických tradicích.
Position	Tokenization	UPOS	Head	Deprel
1	Vědomé	ADJ	3	amod
2	Havlovo	ADJ	3	amod
3	hledání	NOUN	21	nsubj
4	role	NOUN	3	nmod
5	intelektuála	NOUN	4	nmod
6	v	ADP	7	case
7	prostoru	NOUN	3	nmod
8	poskytnutém	ADJ	7	amod
9	rolí	NOUN	8	obl:arg
10	prezidenta	NOUN	9	nmod
11	a	CCONJ	12	cc
12	naplnění	NOUN	3	conj
13	role	NOUN	12	nmod
14	prezidenta	NOUN	13	nmod
15	v	ADP	16	case
16	prostoru	NOUN	12	nmod
17	role	NOUN	16	nmod
18	intelektuála	NOUN	17	nmod
19	jej	PRON	21	obj
20	nejen	PART	21	advmod:emph
21	nediskvalifikuje	VERB	0	root
22	,	PUNCT	28	punct
23	ale	CCONJ	28	cc
24	naopak	ADV	28	advmod
25	v	ADP	27	case
26	obou	NUM	27	nummod
27	rolích	NOUN	28	obl
28	kvalifikuje	VERB	21	conj
29	v	ADP	32	case
30	nejlepších	ADJ	32	amod
31	demokratických	ADJ	32	amod
32	tradicích	NOUN	28	obl
33	.	PUNCT	21	punct