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:
Co ale nechápu, proč ve stejné době vědy a osvěta vyklidily pole, přesněji vyklidily stránky novin a časopisů a stáhly se do ústraní.
Postion	Tokenization
1	Co
2	ale
3	nechápu
4	,
5	proč
6	ve
7	stejné
8	době
9	vědy
10	a
11	osvěta
12	vyklidily
13	pole
14	,
15	přesněji
16	vyklidily
17	stránky
18	novin
19	a
20	časopisů
21	a
22	stáhly
23	se
24	do
25	ústraní
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Co	PRON	3	iobj
2	ale	CCONJ	3	cc
3	nechápu	VERB	0	root
4	,	PUNCT	12	punct
5	proč	ADV	12	advmod
6	ve	ADP	8	case
7	stejné	ADJ	8	amod
8	době	NOUN	12	obl
9	vědy	NOUN	12	nsubj
10	a	CCONJ	11	cc
11	osvěta	NOUN	9	conj
12	vyklidily	VERB	3	ccomp
13	pole	NOUN	12	obj
14	,	PUNCT	16	punct
15	přesněji	ADV	16	advmod
16	vyklidily	VERB	12	conj
17	stránky	NOUN	16	obj
18	novin	NOUN	17	nmod
19	a	CCONJ	20	cc
20	časopisů	NOUN	18	conj
21	a	CCONJ	22	cc
22	stáhly	VERB	12	conj
23	se	PRON	22	expl:pv
24	do	ADP	25	case
25	ústraní	NOUN	22	obl
26	.	PUNCT	3	punct