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:
My ovšem touto knížkou nemůžeme dát přesný recept, ale to, co zdůrazňujeme, je porozumění čili rozumět tomu a pak se prostředek k nápravě najde.
Postion	Tokenization
1	My
2	ovšem
3	touto
4	knížkou
5	nemůžeme
6	dát
7	přesný
8	recept
9	,
10	ale
11	to
12	,
13	co
14	zdůrazňujeme
15	,
16	je
17	porozumění
18	čili
19	rozumět
20	tomu
21	a
22	pak
23	se
24	prostředek
25	k
26	nápravě
27	najde
28	.
Position	Tokenization	UPOS	Head	Deprel
1	My	PRON	5	nsubj
2	ovšem	CCONJ	5	cc
3	touto	DET	4	det
4	knížkou	NOUN	6	obl
5	nemůžeme	VERB	0	root
6	dát	VERB	5	xcomp
7	přesný	ADJ	8	amod
8	recept	NOUN	6	obj
9	,	PUNCT	17	punct
10	ale	CCONJ	17	cc
11	to	DET	17	nsubj
12	,	PUNCT	14	punct
13	co	PRON	14	obj
14	zdůrazňujeme	VERB	11	acl:relcl
15	,	PUNCT	14	punct
16	je	AUX	17	cop
17	porozumění	NOUN	5	conj
18	čili	CCONJ	19	cc
19	rozumět	VERB	17	conj
20	tomu	DET	19	obl:arg
21	a	CCONJ	27	cc
22	pak	ADV	27	advmod
23	se	PRON	27	expl:pass
24	prostředek	NOUN	27	nsubj:pass
25	k	ADP	26	case
26	nápravě	NOUN	24	nmod
27	najde	VERB	17	conj
28	.	PUNCT	5	punct