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:
Z toho pak vyplývá první důležité poučení: technická civilizace nás v určitých případech staví před nutnost rozhodovat se mezi možnostmi, které jsou všechny stejně hloupé.
Postion	Tokenization
1	Z
2	toho
3	pak
4	vyplývá
5	první
6	důležité
7	poučení
8	:
9	technická
10	civilizace
11	nás
12	v
13	určitých
14	případech
15	staví
16	před
17	nutnost
18	rozhodovat
19	se
20	mezi
21	možnostmi
22	,
23	které
24	jsou
25	všechny
26	stejně
27	hloupé
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Z	ADP	2	case
2	toho	DET	4	obl:arg
3	pak	ADV	4	advmod
4	vyplývá	VERB	0	root
5	první	ADJ	7	amod
6	důležité	ADJ	7	amod
7	poučení	NOUN	4	nsubj
8	:	PUNCT	15	punct
9	technická	ADJ	10	amod
10	civilizace	NOUN	15	nsubj
11	nás	PRON	15	obj
12	v	ADP	14	case
13	určitých	ADJ	14	amod
14	případech	NOUN	15	obl
15	staví	VERB	7	appos
16	před	ADP	17	case
17	nutnost	NOUN	15	obl
18	rozhodovat	VERB	17	acl
19	se	PRON	18	expl:pv
20	mezi	ADP	21	case
21	možnostmi	NOUN	18	obl:arg
22	,	PUNCT	27	punct
23	které	DET	27	nsubj
24	jsou	AUX	27	cop
25	všechny	DET	23	xcomp
26	stejně	ADV	27	advmod
27	hloupé	ADJ	21	acl:relcl
28	.	PUNCT	4	punct