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 tokenized text:
Christie na mítinku v Bruselu již letos podruhé podlehl Nigerijci Adenikenovi, Lewis v Kodani skončil druhý za svým krajanem Mitchellem.
Postion	Tokenization
1	Christie
2	na
3	mítinku
4	v
5	Bruselu
6	již
7	letos
8	podruhé
9	podlehl
10	Nigerijci
11	Adenikenovi
12	,
13	Lewis
14	v
15	Kodani
16	skončil
17	druhý
18	za
19	svým
20	krajanem
21	Mitchellem
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Christie	PROPN	9	nsubj
2	na	ADP	3	case
3	mítinku	NOUN	9	obl
4	v	ADP	5	case
5	Bruselu	PROPN	3	nmod
6	již	ADV	8	advmod:emph
7	letos	ADV	9	advmod
8	podruhé	ADV	9	obl
9	podlehl	VERB	0	root
10	Nigerijci	PROPN	9	obl:arg
11	Adenikenovi	PROPN	10	flat
12	,	PUNCT	16	punct
13	Lewis	PROPN	16	nsubj
14	v	ADP	15	case
15	Kodani	PROPN	16	obl
16	skončil	VERB	9	conj
17	druhý	ADJ	13	xcomp
18	za	ADP	20	case
19	svým	DET	20	det
20	krajanem	NOUN	16	obl
21	Mitchellem	PROPN	20	flat
22	.	PUNCT	9	punct