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: Německá plavkyně Franziska van Almsicková se poté, co do finále závodu na 200 m volný způsob na MS v Římě postoupila až po taktickém tahu trenéra Henneberga, vypnula ke skvělému výkonu a zaplavala světový rekord.
Position	Tokenization	UPOS	Head	Deprel
1	Německá	ADJ	2	amod
2	plavkyně	NOUN	30	nsubj
3	Franziska	PROPN	2	flat
4	van	ADP	2	flat
5	Almsicková	PROPN	2	flat
6	se	PRON	30	expl:pv
7	poté	ADV	30	advmod
8	,	PUNCT	22	punct
9	co	SCONJ	22	mark
10	do	ADP	11	case
11	finále	NOUN	22	obl
12	závodu	NOUN	11	nmod
13	na	ADP	14	case
14	200	NUM	12	nummod
15	m	NOUN	14	nmod
16	volný	ADJ	17	amod
17	způsob	NOUN	15	nmod
18	na	ADP	19	case
19	MS	NOUN	12	nmod
20	v	ADP	21	case
21	Římě	PROPN	19	nmod
22	postoupila	VERB	30	advcl
23	až	PART	26	advmod:emph
24	po	ADP	26	case
25	taktickém	ADJ	26	amod
26	tahu	NOUN	22	obl
27	trenéra	NOUN	26	nmod
28	Henneberga	PROPN	27	flat
29	,	PUNCT	22	punct
30	vypnula	VERB	0	root
31	ke	ADP	33	case
32	skvělému	ADJ	33	amod
33	výkonu	NOUN	30	obl
34	a	CCONJ	35	cc
35	zaplavala	VERB	30	conj
36	světový	ADJ	37	amod
37	rekord	NOUN	35	obj
38	.	PUNCT	30	punct