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:
Také v braniborské Chotěbuzi se podařilo v uplynulých třech nocích odvrátit opakované útoky pravicových radikálů na místní ubytovnu uprchlíků jen díky včasnému zásahu policie.
Postion	Tokenization
1	Také
2	v
3	braniborské
4	Chotěbuzi
5	se
6	podařilo
7	v
8	uplynulých
9	třech
10	nocích
11	odvrátit
12	opakované
13	útoky
14	pravicových
15	radikálů
16	na
17	místní
18	ubytovnu
19	uprchlíků
20	jen
21	díky
22	včasnému
23	zásahu
24	policie
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Také	ADV	4	advmod:emph
2	v	ADP	4	case
3	braniborské	ADJ	4	amod
4	Chotěbuzi	PROPN	6	obl
5	se	PRON	6	expl:pv
6	podařilo	VERB	0	root
7	v	ADP	10	case
8	uplynulých	ADJ	10	amod
9	třech	NUM	10	nummod
10	nocích	NOUN	6	obl
11	odvrátit	VERB	6	csubj
12	opakované	ADJ	13	amod
13	útoky	NOUN	11	obj
14	pravicových	ADJ	15	amod
15	radikálů	NOUN	13	nmod
16	na	ADP	18	case
17	místní	ADJ	18	amod
18	ubytovnu	NOUN	13	nmod
19	uprchlíků	NOUN	18	nmod
20	jen	PART	23	advmod:emph
21	díky	ADP	23	case
22	včasnému	ADJ	23	amod
23	zásahu	NOUN	11	obl
24	policie	NOUN	23	nmod
25	.	PUNCT	6	punct