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: Jak včera uvedl britský tisk, pravděpodobnost, že se smíšenému páru - v tomto případě bílé ženě a jejímu partnerovi černé pleti - narodí dvojčata různé barvy kůže, je podle lékařů milion ku jedné.
Position	Tokenization	UPOS	Head	Deprel
1	Jak	ADV	3	advmod
2	včera	ADV	3	advmod
3	uvedl	VERB	34	parataxis
4	britský	ADJ	5	amod
5	tisk	NOUN	3	nsubj
6	,	PUNCT	3	punct
7	pravděpodobnost	NOUN	34	nsubj
8	,	PUNCT	25	punct
9	že	SCONJ	25	mark
10	se	PRON	25	expl:pv
11	smíšenému	ADJ	12	amod
12	páru	NOUN	25	obl:arg
13	-	PUNCT	18	punct
14	v	ADP	16	case
15	tomto	DET	16	det
16	případě	NOUN	18	dep
17	bílé	ADJ	18	amod
18	ženě	NOUN	12	appos
19	a	CCONJ	21	cc
20	jejímu	DET	21	det
21	partnerovi	NOUN	18	conj
22	černé	ADJ	23	amod
23	pleti	NOUN	21	nmod
24	-	PUNCT	18	punct
25	narodí	VERB	7	acl
26	dvojčata	NOUN	25	nsubj
27	různé	ADJ	28	amod
28	barvy	NOUN	26	nmod
29	kůže	NOUN	28	nmod
30	,	PUNCT	25	punct
31	je	AUX	34	cop
32	podle	ADP	33	case
33	lékařů	NOUN	34	obl
34	milion	NOUN	0	root
35	ku	ADP	36	case
36	jedné	NUM	34	nummod
37	.	PUNCT	34	punct