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: Ani Opava po propadáku předminulý týden na Xaverově tentokrát nezaváhala (4:0 nad Turnovem), ačkoliv měla před výkopem starosti se sestavením obrany - Orel zůstal po dlouhodobém zranění oka na lavičce a Hadaščok s Onuferem byli v trestu za vyloučení v Horních Počernicích.
Position	Tokenization	UPOS	Head	Deprel
1	Ani	CCONJ	2	advmod:emph
2	Opava	PROPN	10	nsubj
3	po	ADP	4	case
4	propadáku	NOUN	10	obl
5	předminulý	ADJ	6	amod
6	týden	NOUN	4	nmod
7	na	ADP	8	case
8	Xaverově	PROPN	4	nmod
9	tentokrát	ADV	10	advmod
10	nezaváhala	VERB	0	root
11	(	PUNCT	10	punct
12	4	NUM	10	dep
13	:	PUNCT	14	punct
14	0	NUM	12	conj
15	nad	ADP	16	case
16	Turnovem	PROPN	10	dep
17	)	PUNCT	10	punct
18	,	PUNCT	20	punct
19	ačkoliv	SCONJ	20	mark
20	měla	VERB	10	advcl
21	před	ADP	22	case
22	výkopem	NOUN	20	obl
23	starosti	NOUN	20	obj
24	se	ADP	25	case
25	sestavením	NOUN	23	nmod
26	obrany	NOUN	25	nmod
27	-	PUNCT	29	punct
28	Orel	NOUN	29	nsubj
29	zůstal	VERB	20	appos
30	po	ADP	32	case
31	dlouhodobém	ADJ	32	amod
32	zranění	NOUN	29	obl
33	oka	NOUN	32	nmod
34	na	ADP	35	case
35	lavičce	NOUN	29	obl
36	a	CCONJ	40	cc
37	Hadaščok	PROPN	40	nsubj
38	s	ADP	39	case
39	Onuferem	PROPN	37	nmod
40	byli	VERB	29	conj
41	v	ADP	42	case
42	trestu	NOUN	40	obl
43	za	ADP	44	case
44	vyloučení	NOUN	40	obl
45	v	ADP	47	case
46	Horních	ADJ	47	amod
47	Počernicích	PROPN	44	nmod
48	.	PUNCT	10	punct