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 text: Monografie má 432 str., každá z 20 kapitol uvádí literární citace samostatně (celkem jde o více než 2300 citací) a bude jistě zajímat nejen analytiky a specialisty příslušného oboru, nýbrž především zemědělce, veterinární a humánní lékaře i toxikology.
Position	Tokenization	UPOS	Head	Deprel
1	Monografie	NOUN	2	nsubj
2	má	VERB	0	root
3	432	NUM	2	obj
4	str	NOUN	3	nmod
5	.	PUNCT	4	punct
6	,	PUNCT	11	punct
7	každá	DET	11	nsubj
8	z	ADP	10	case
9	20	NUM	10	nummod
10	kapitol	NOUN	7	nmod
11	uvádí	VERB	2	conj
12	literární	ADJ	13	amod
13	citace	NOUN	11	obj
14	samostatně	ADV	11	advmod
15	(	PUNCT	17	punct
16	celkem	ADV	17	advmod
17	jde	VERB	11	parataxis
18	o	ADP	19	case
19	více	ADV	17	obl:arg
20	než	SCONJ	21	mark
21	2300	NUM	19	obl
22	citací	NOUN	19	nmod
23	)	PUNCT	17	punct
24	a	CCONJ	27	cc
25	bude	AUX	27	aux
26	jistě	ADV	27	advmod
27	zajímat	VERB	2	conj
28	nejen	PART	29	advmod:emph
29	analytiky	NOUN	27	obj
30	a	CCONJ	31	cc
31	specialisty	NOUN	29	conj
32	příslušného	ADJ	33	amod
33	oboru	NOUN	31	nmod
34	,	PUNCT	37	punct
35	nýbrž	CCONJ	37	cc
36	především	ADV	37	advmod:emph
37	zemědělce	NOUN	29	conj
38	,	PUNCT	42	punct
39	veterinární	ADJ	42	amod
40	a	CCONJ	41	cc
41	humánní	ADJ	39	conj
42	lékaře	NOUN	37	conj
43	i	CCONJ	44	cc
44	toxikology	NOUN	37	conj
45	.	PUNCT	2	punct