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:
Jádro sporu by bylo ovšem v tom, že to není ekonomická, ale spíš- vzhledem k thesi o imanentní lidské tendenci k destrukci filozofická- předpověď osudu jedné civilizace.
Postion	Tokenization
1	Jádro
2	sporu
3	by
4	bylo
5	ovšem
6	v
7	tom
8	,
9	že
10	to
11	není
12	ekonomická
13	_
14	,
15	ale
16	spíš
17	-
18	vzhledem
19	k
20	thesi
21	o
22	imanentní
23	lidské
24	tendenci
25	k
26	destrukci
27	filozofická
28	-
29	předpověď
30	osudu
31	jedné
32	civilizace
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Jádro	NOUN	4	nsubj
2	sporu	NOUN	1	nmod
3	by	AUX	4	aux
4	bylo	VERB	0	root
5	ovšem	CCONJ	4	cc
6	v	ADP	7	case
7	tom	DET	4	obl
8	,	PUNCT	11	punct
9	že	SCONJ	11	mark
10	to	DET	11	nsubj
11	není	VERB	7	acl
12	ekonomická	ADJ	11	dep
13	_	_	None	_
14	,	PUNCT	15	punct
15	ale	CCONJ	15	cc
16	spíš	ADV	11	conj
17	-	PUNCT	19	punct
18	vzhledem	ADP	19	case
19	k	ADP	17	fixed
20	thesi	NOUN	28	dep
21	o	ADP	23	case
22	imanentní	ADJ	23	amod
23	lidské	ADJ	23	amod
24	tendenci	NOUN	19	nmod
25	k	ADP	25	case
26	destrukci	NOUN	23	nmod
27	filozofická	ADJ	25	amod
28	-	PUNCT	19	punct
29	předpověď	NOUN	15	orphan
30	osudu	NOUN	28	nmod
31	jedné	NUM	31	nummod
32	civilizace	NOUN	29	nmod
33	.	PUNCT	4	punct