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: I pro středně osvíceného molekulárního biologa je systematik člověk, který v rozlehlé a slunné pracovně za pomoci týmu laborantů řeší otázku, o kolik chlupů na zadečku má více sluníčko sedmitečné nežli mandelinka bramborová.
Position	Tokenization	UPOS	Head	Deprel
1	I	CCONJ	6	advmod:emph
2	pro	ADP	6	case
3	středně	ADV	4	advmod
4	osvíceného	ADJ	6	amod
5	molekulárního	ADJ	6	amod
6	biologa	NOUN	9	obl
7	je	AUX	9	cop
8	systematik	NOUN	9	nsubj
9	člověk	NOUN	0	root
10	,	PUNCT	21	punct
11	který	DET	21	nsubj
12	v	ADP	16	case
13	rozlehlé	ADJ	16	amod
14	a	CCONJ	15	cc
15	slunné	ADJ	13	conj
16	pracovně	NOUN	21	obl
17	za	ADP	19	case
18	pomoci	NOUN	17	fixed
19	týmu	NOUN	21	obl
20	laborantů	NOUN	19	nmod
21	řeší	VERB	9	acl:relcl
22	otázku	NOUN	21	obj
23	,	PUNCT	29	punct
24	o	ADP	26	case
25	kolik	DET	26	det:numgov
26	chlupů	NOUN	30	obl
27	na	ADP	28	case
28	zadečku	NOUN	26	nmod
29	má	VERB	22	acl
30	více	ADV	29	advmod
31	sluníčko	NOUN	29	nsubj
32	sedmitečné	ADJ	31	amod
33	nežli	SCONJ	34	mark
34	mandelinka	NOUN	30	dep
35	bramborová	ADJ	34	amod
36	.	PUNCT	9	punct