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:
Ten sice veškeré lidské chování determinoval zákonitostmi výrobních sil a výrobních prostředků, eschatologickou vizi však neopustil a zachoval v sobě raně křesťanskou jednotu dějin.
Postion	Tokenization
1	Ten
2	sice
3	veškeré
4	lidské
5	chování
6	determinoval
7	zákonitostmi
8	výrobních
9	sil
10	a
11	výrobních
12	prostředků
13	,
14	eschatologickou
15	vizi
16	však
17	neopustil
18	a
19	zachoval
20	v
21	sobě
22	raně
23	křesťanskou
24	jednotu
25	dějin
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Ten	DET	6	nsubj
2	sice	ADV	6	cc
3	veškeré	PRON	5	nmod
4	lidské	ADJ	5	amod
5	chování	NOUN	6	obj
6	determinoval	VERB	0	root
7	zákonitostmi	NOUN	6	obl:arg
8	výrobních	ADJ	9	amod
9	sil	NOUN	7	nmod
10	a	CCONJ	12	cc
11	výrobních	ADJ	12	amod
12	prostředků	NOUN	9	conj
13	,	PUNCT	17	punct
14	eschatologickou	ADJ	15	amod
15	vizi	NOUN	17	obj
16	však	CCONJ	17	cc
17	neopustil	VERB	6	conj
18	a	CCONJ	19	cc
19	zachoval	VERB	17	conj
20	v	ADP	21	case
21	sobě	PRON	19	obl
22	raně	ADV	23	advmod
23	křesťanskou	ADJ	24	amod
24	jednotu	NOUN	19	obj
25	dějin	NOUN	24	nmod
26	.	PUNCT	6	punct