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: Po triumfu na 400 m přidala další zlato i na poloviční trati Australanka Cathy Freemanová, v běhu na 400 m překážek dominoval mistr světa z Tokia Samuel Matete ze Zambie.
Position	Tokenization	UPOS	Head	Deprel
1	Po	ADP	2	case
2	triumfu	NOUN	6	obl
3	na	ADP	4	case
4	400	NUM	2	nummod
5	m	NOUN	4	nmod
6	přidala	VERB	0	root
7	další	ADJ	8	amod
8	zlato	NOUN	6	obj
9	i	CCONJ	12	advmod:emph
10	na	ADP	12	case
11	poloviční	ADJ	12	amod
12	trati	NOUN	6	obl
13	Australanka	PROPN	6	nsubj
14	Cathy	PROPN	13	flat
15	Freemanová	PROPN	13	flat
16	,	PUNCT	23	punct
17	v	ADP	18	case
18	běhu	NOUN	23	obl
19	na	ADP	20	case
20	400	NUM	18	nummod
21	m	NOUN	20	nmod
22	překážek	NOUN	21	nmod
23	dominoval	VERB	6	conj
24	mistr	NOUN	23	nsubj
25	světa	NOUN	24	nmod
26	z	ADP	27	case
27	Tokia	PROPN	24	nmod
28	Samuel	PROPN	24	flat
29	Matete	PROPN	24	flat
30	ze	ADP	31	case
31	Zambie	PROPN	24	nmod
32	.	PUNCT	6	punct