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:
Akademickou půdu (tu vědeckou i školskou) respektuje a podporuje kulturní stát evropsko-americké tradice jakožto prostor nezávislosti a svobody, a to pro svou vlastní budoucí státní prosperitu.
Postion	Tokenization
1	Akademickou
2	půdu
3	(
4	tu
5	vědeckou
6	i
7	školskou
8	)
9	respektuje
10	a
11	podporuje
12	kulturní
13	stát
14	evropsko
15	-
16	americké
17	tradice
18	jakožto
19	prostor
20	nezávislosti
21	a
22	svobody
23	,
24	a
25	to
26	pro
27	svou
28	vlastní
29	budoucí
30	státní
31	prosperitu
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Akademickou	ADJ	2	amod
2	půdu	NOUN	9	obj
3	(	PUNCT	4	punct
4	tu	DET	2	det
5	vědeckou	ADJ	2	amod
6	i	CCONJ	7	cc
7	školskou	ADJ	5	conj
8	)	PUNCT	5	punct
9	respektuje	VERB	0	root
10	a	CCONJ	11	cc
11	podporuje	VERB	9	conj
12	kulturní	ADJ	13	amod
13	stát	NOUN	9	nsubj
14	evropsko	ADJ	17	amod
15	-	PUNCT	16	punct
16	americké	ADJ	14	conj
17	tradice	NOUN	13	nmod
18	jakožto	SCONJ	19	mark
19	prostor	NOUN	2	xcomp
20	nezávislosti	NOUN	19	nmod
21	a	CCONJ	22	cc
22	svobody	NOUN	20	conj
23	,	PUNCT	31	punct
24	a	CCONJ	31	cc
25	to	PART	24	fixed
26	pro	ADP	31	case
27	svou	DET	31	det
28	vlastní	ADJ	31	amod
29	budoucí	ADJ	31	amod
30	státní	ADJ	31	amod
31	prosperitu	NOUN	9	obl
32	.	PUNCT	9	punct