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: Pokud by se náš autor zabýval českým nacionalismem a jeho problémy důkladněji, než činí doposud (profesní specializací je ostatně historikem raného českého středověku), jeho zjištění by možná měla ke skutečnosti blíže.
Position	Tokenization	UPOS	Head	Deprel
1	Pokud	SCONJ	6	mark
2	by	AUX	6	aux
3	se	PRON	6	expl:pv
4	náš	DET	5	det
5	autor	NOUN	6	nsubj
6	zabýval	VERB	32	advcl
7	českým	ADJ	8	amod
8	nacionalismem	NOUN	6	obl:arg
9	a	CCONJ	11	cc
10	jeho	DET	11	det
11	problémy	NOUN	8	conj
12	důkladněji	ADV	6	advmod
13	,	PUNCT	15	punct
14	než	SCONJ	15	mark
15	činí	VERB	12	advcl
16	doposud	ADV	15	advmod
17	(	PUNCT	22	punct
18	profesní	ADJ	19	amod
19	specializací	NOUN	22	obl
20	je	AUX	22	cop
21	ostatně	ADV	22	advmod
22	historikem	NOUN	6	parataxis
23	raného	ADJ	25	amod
24	českého	ADJ	25	amod
25	středověku	NOUN	22	nmod
26	)	PUNCT	22	punct
27	,	PUNCT	6	punct
28	jeho	DET	29	det
29	zjištění	NOUN	32	nsubj
30	by	AUX	32	aux
31	možná	ADV	32	advmod
32	měla	VERB	0	root
33	ke	ADP	34	case
34	skutečnosti	NOUN	35	obl
35	blíže	ADV	32	obj
36	.	PUNCT	32	punct