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 se mi tedy podařilo dostat smysl pro humor do tabletek nebo do injekcí, a tím lidi proti fanatismu imunizovat, měl bych šanci na Nobelovu cenu ne v literatuře, ale v medicíně.
Position	Tokenization	UPOS	Head	Deprel
1	Kdyby	_	None	_
2	Když	SCONJ	6	mark
3	by	AUX	6	aux
4	se	PRON	6	expl:pv
5	mi	PRON	6	obl:arg
6	tedy	ADV	6	advmod
7	podařilo	VERB	24	advcl
8	dostat	VERB	6	csubj
9	smysl	NOUN	7	obj
10	pro	ADP	10	case
11	humor	NOUN	8	nmod
12	do	ADP	12	case
13	tabletek	NOUN	7	obl
14	nebo	CCONJ	15	cc
15	do	ADP	15	case
16	injekcí	NOUN	12	conj
17	,	PUNCT	22	punct
18	a	CCONJ	22	cc
19	tím	DET	22	obl
20	lidi	NOUN	22	obj
21	proti	ADP	21	case
22	fanatismu	NOUN	22	obl:arg
23	imunizovat	VERB	7	conj
24	,	PUNCT	6	punct
25	měl	VERB	0	root
26	bych	AUX	24	aux
27	šanci	NOUN	24	obj
28	na	ADP	29	case
29	Nobelovu	ADJ	29	amod
30	cenu	NOUN	26	nmod
31	ne	PART	32	advmod:emph
32	v	ADP	32	case
33	literatuře	NOUN	29	nmod
34	,	PUNCT	36	punct
35	ale	CCONJ	36	cc
36	v	ADP	36	case
37	medicíně	NOUN	32	conj
38	.	PUNCT	24	punct