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:
: Nepřipravovali jsme se na utkání jako na odvetu za Lillehammer, ale pouze jako na čistě přípravný zápas, kde by naše mladé mužstvo mělo získat zkušenosti.
Postion	Tokenization
1	:
2	Nepřipravovali
3	jsme
4	se
5	na
6	utkání
7	jako
8	na
9	odvetu
10	za
11	Lillehammer
12	,
13	ale
14	pouze
15	jako
16	na
17	čistě
18	přípravný
19	zápas
20	,
21	kde
22	by
23	naše
24	mladé
25	mužstvo
26	mělo
27	získat
28	zkušenosti
29	.
Position	Tokenization	UPOS	Head	Deprel
1	:	PUNCT	2	punct
2	Nepřipravovali	VERB	0	root
3	jsme	AUX	2	aux
4	se	PRON	2	expl:pv
5	na	ADP	6	case
6	utkání	NOUN	2	obl:arg
7	jako	SCONJ	9	mark
8	na	ADP	9	case
9	odvetu	NOUN	6	xcomp
10	za	ADP	11	case
11	Lillehammer	PROPN	9	nmod
12	,	PUNCT	19	punct
13	ale	CCONJ	19	cc
14	pouze	ADV	19	advmod:emph
15	jako	SCONJ	19	mark
16	na	ADP	19	case
17	čistě	ADV	18	advmod
18	přípravný	ADJ	19	amod
19	zápas	NOUN	9	conj
20	,	PUNCT	26	punct
21	kde	ADV	26	advmod
22	by	AUX	26	aux
23	naše	DET	25	det
24	mladé	ADJ	25	amod
25	mužstvo	NOUN	26	nsubj
26	mělo	VERB	19	acl:relcl
27	získat	VERB	26	xcomp
28	zkušenosti	NOUN	27	obj
29	.	PUNCT	2	punct