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: Kdyby si někdo dal práci a prozkoumal jednu stránku dnešních českých novin co do původu použitých slov, museli by čtenáři takového rozboru přijít k závěru, že dnešní čeština má slovní zásobu hodně nečeskou.
Position	Tokenization	UPOS	Head	Deprel
1	Kdyby	_	None	_
2	Když	SCONJ	5	mark
3	by	AUX	5	aux
4	si	PRON	5	expl:pv
5	někdo	PRON	5	nsubj
6	dal	VERB	20	advcl
7	práci	NOUN	5	obj
8	a	CCONJ	8	cc
9	prozkoumal	VERB	5	conj
10	jednu	NUM	10	nummod
11	stránku	NOUN	8	obj
12	dnešních	ADJ	13	amod
13	českých	ADJ	13	amod
14	novin	NOUN	10	nmod
15	co	ADV	16	case
16	do	ADP	14	fixed
17	původu	NOUN	8	obl
18	použitých	ADJ	18	amod
19	slov	NOUN	16	nmod
20	,	PUNCT	5	punct
21	museli	VERB	0	root
22	by	AUX	20	aux
23	čtenáři	NOUN	20	nsubj
24	takového	DET	24	det
25	rozboru	NOUN	22	nmod
26	přijít	VERB	20	xcomp
27	k	ADP	27	case
28	závěru	NOUN	25	obl:arg
29	,	PUNCT	32	punct
30	že	SCONJ	32	mark
31	dnešní	ADJ	31	amod
32	čeština	NOUN	32	nsubj
33	má	VERB	27	acl
34	slovní	ADJ	34	amod
35	zásobu	NOUN	32	obj
36	hodně	ADV	36	advmod
37	nečeskou	ADJ	34	amod
38	.	PUNCT	20	punct