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: Došlo skutečně ke druhé migraci populace Homo sapiens , při které nelítostně vyhubila všechny své starší příbuzné, nebo jde o artefakt vyplývající z nepřesné interpretace frekvence náhodných mutací molekulárními genetiky?
Position	Tokenization	UPOS	Head	Deprel
1	Došlo	VERB	0	root
2	skutečně	ADV	1	advmod
3	ke	ADP	5	case
4	druhé	ADJ	5	amod
5	migraci	NOUN	1	obl:arg
6	populace	NOUN	5	nmod
7	Homo	NOUN	6	nmod
8	sapiens	ADJ	7	flat:foreign
9	,	PUNCT	13	punct
10	při	ADP	11	case
11	které	DET	13	obl
12	nelítostně	ADV	13	advmod
13	vyhubila	VERB	5	acl:relcl
14	všechny	DET	17	det
15	své	DET	17	det
16	starší	ADJ	17	amod
17	příbuzné	NOUN	13	obj
18	,	PUNCT	20	punct
19	nebo	CCONJ	20	cc
20	jde	VERB	1	conj
21	o	ADP	22	case
22	artefakt	NOUN	20	obl:arg
23	vyplývající	ADJ	22	amod
24	z	ADP	26	case
25	nepřesné	ADJ	26	amod
26	interpretace	NOUN	23	obl:arg
27	frekvence	NOUN	26	nmod
28	náhodných	ADJ	29	amod
29	mutací	NOUN	27	nmod
30	molekulárními	ADJ	31	amod
31	genetiky	NOUN	26	nmod
32	?	PUNCT	1	punct