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:
Pro tým z kolébky kopané je navíc výhra v PVP jedinou šancí hrát v příští sezoně opět evropský pohár a v hledišti jej bude povzbuzovat 13 tisíc fanoušků.
Postion	Tokenization
1	Pro
2	tým
3	z
4	kolébky
5	kopané
6	je
7	navíc
8	výhra
9	v
10	PVP
11	jedinou
12	šancí
13	hrát
14	v
15	příští
16	sezoně
17	opět
18	evropský
19	pohár
20	a
21	v
22	hledišti
23	jej
24	bude
25	povzbuzovat
26	13
27	tisíc
28	fanoušků
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Pro	ADP	2	case
2	tým	NOUN	12	obl:arg
3	z	ADP	4	case
4	kolébky	NOUN	2	nmod
5	kopané	NOUN	4	nmod
6	je	AUX	12	cop
7	navíc	ADV	12	advmod
8	výhra	NOUN	12	nsubj
9	v	ADP	10	case
10	PVP	PROPN	8	nmod
11	jedinou	ADJ	12	amod
12	šancí	NOUN	0	root
13	hrát	VERB	12	acl
14	v	ADP	16	case
15	příští	ADJ	16	amod
16	sezoně	NOUN	13	obl
17	opět	ADV	13	advmod
18	evropský	ADJ	19	amod
19	pohár	NOUN	13	obj
20	a	CCONJ	25	cc
21	v	ADP	22	case
22	hledišti	NOUN	25	obl
23	jej	PRON	25	obj
24	bude	AUX	25	aux
25	povzbuzovat	VERB	12	conj
26	13	NUM	28	nummod:gov
27	tisíc	NUM	28	nummod:gov
28	fanoušků	NOUN	25	nsubj
29	.	PUNCT	12	punct