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:
Bičovský, trenér Teplic měl výhrady zejména k obraně svého mužstva: Dostali jsme už osm gólů, za což může naše křečovitost v defenzivě.
Postion	Tokenization
1	Bičovský
2	,
3	trenér
4	Teplic
5	měl
6	výhrady
7	zejména
8	k
9	obraně
10	svého
11	mužstva
12	:
13	Dostali
14	jsme
15	už
16	osm
17	gólů
18	,
19	za
20	což
21	může
22	naše
23	křečovitost
24	v
25	defenzivě
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Bičovský	PROPN	5	nsubj
2	,	PUNCT	3	punct
3	trenér	NOUN	1	appos
4	Teplic	PROPN	3	nmod
5	měl	VERB	0	root
6	výhrady	NOUN	5	obj
7	zejména	ADV	9	advmod:emph
8	k	ADP	9	case
9	obraně	NOUN	6	nmod
10	svého	DET	11	det
11	mužstva	NOUN	9	nmod
12	:	PUNCT	13	punct
13	Dostali	VERB	5	conj
14	jsme	AUX	13	aux
15	už	ADV	16	advmod:emph
16	osm	NUM	17	nummod:gov
17	gólů	NOUN	13	obj
18	,	PUNCT	21	punct
19	za	ADP	20	case
20	což	PRON	21	obl:arg
21	může	VERB	13	conj
22	naše	DET	23	det
23	křečovitost	NOUN	21	nsubj
24	v	ADP	25	case
25	defenzivě	NOUN	23	nmod
26	.	PUNCT	5	punct