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: V této sestavě se však české kvarteto v Barceloně nepředstaví, protože pro čtvrtkařskou štafetu budou připraveny ještě Naďa Koštovalová, která ve Vídni splnila limit v běhu na 400 m, a Ludmila Formanová, které se totéž v městě na Dunaji podařilo na dvojnásobné trati o týden dříve.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	3	case
2	této	DET	3	det
3	sestavě	NOUN	10	obl
4	se	PRON	10	obj
5	však	CCONJ	10	cc
6	české	ADJ	7	amod
7	kvarteto	NOUN	10	nsubj
8	v	ADP	9	case
9	Barceloně	PROPN	10	obl
10	nepředstaví	VERB	0	root
11	,	PUNCT	17	punct
12	protože	SCONJ	17	mark
13	pro	ADP	15	case
14	čtvrtkařskou	ADJ	15	amod
15	štafetu	NOUN	17	obl
16	budou	AUX	17	aux:pass
17	připraveny	ADJ	10	obl
18	ještě	ADV	19	advmod:emph
19	Naďa	PROPN	17	nsubj:pass
20	Koštovalová	PROPN	19	flat
21	,	PUNCT	25	punct
22	která	DET	25	nsubj
23	ve	ADP	24	case
24	Vídni	PROPN	25	obl
25	splnila	VERB	19	acl:relcl
26	limit	NOUN	25	obj
27	v	ADP	28	case
28	běhu	NOUN	26	nmod
29	na	ADP	30	case
30	400	NUM	28	nummod
31	m	NOUN	30	nmod
32	,	PUNCT	34	punct
33	a	CCONJ	34	cc
34	Ludmila	PROPN	19	conj
35	Formanová	PROPN	34	flat
36	,	PUNCT	44	punct
37	které	DET	44	obl:arg
38	se	PRON	44	expl:pv
39	totéž	DET	44	nsubj
40	v	ADP	41	case
41	městě	NOUN	44	obl
42	na	ADP	43	case
43	Dunaji	PROPN	41	nmod
44	podařilo	VERB	34	acl:relcl
45	na	ADP	47	case
46	dvojnásobné	ADJ	47	amod
47	trati	NOUN	44	obl
48	o	ADP	49	case
49	týden	NOUN	50	obl
50	dříve	ADV	44	advmod
51	.	PUNCT	10	punct