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:
Klub se dostal do nesnází, když na jaře koupil z Atlétika Madrid Futreho za 6 milionů dolarů, ač měl v pokladně sotva na platy hráčům.
Postion	Tokenization
1	Klub
2	se
3	dostal
4	do
5	nesnází
6	,
7	když
8	na
9	jaře
10	koupil
11	z
12	Atlétika
13	Madrid
14	Futreho
15	za
16	6
17	milionů
18	dolarů
19	,
20	ač
21	měl
22	v
23	pokladně
24	sotva
25	na
26	platy
27	hráčům
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Klub	NOUN	3	nsubj
2	se	PRON	3	expl:pv
3	dostal	VERB	0	root
4	do	ADP	5	case
5	nesnází	NOUN	3	obl
6	,	PUNCT	10	punct
7	když	SCONJ	10	mark
8	na	ADP	9	case
9	jaře	NOUN	10	obl
10	koupil	VERB	3	advcl
11	z	ADP	12	case
12	Atlétika	PROPN	10	obl
13	Madrid	PROPN	12	nmod
14	Futreho	PROPN	10	obj
15	za	ADP	17	case
16	6	NUM	17	nummod:gov
17	milionů	NOUN	10	obl
18	dolarů	NOUN	17	nmod
19	,	PUNCT	21	punct
20	ač	SCONJ	21	mark
21	měl	VERB	10	advcl
22	v	ADP	23	case
23	pokladně	NOUN	21	obl
24	sotva	ADV	26	advmod:emph
25	na	ADP	26	case
26	platy	NOUN	21	obl
27	hráčům	NOUN	26	nmod
28	.	PUNCT	3	punct