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: Srbové nejenže okupovali na 70 procent území, ale podařilo se jim vytvořit i bezpečný koridor se samozvanou republikou Krajina v Chorvatsku, která má nyní spojení s dalšími srbskými územími včetně Bělehradu.
Position	Tokenization	UPOS	Head	Deprel
1	Srbové	PROPN	3	nsubj
2	nejenže	ADV	3	advmod:emph
3	okupovali	VERB	0	root
4	na	ADP	6	case
5	70	NUM	6	nummod:gov
6	procent	NOUN	3	obl:arg
7	území	NOUN	6	nmod
8	,	PUNCT	10	punct
9	ale	CCONJ	10	cc
10	podařilo	VERB	3	conj
11	se	PRON	10	expl:pv
12	jim	PRON	10	obl:arg
13	vytvořit	VERB	10	csubj
14	i	CCONJ	16	advmod:emph
15	bezpečný	ADJ	16	amod
16	koridor	NOUN	13	obj
17	se	ADP	19	case
18	samozvanou	ADJ	19	amod
19	republikou	NOUN	16	nmod
20	Krajina	NOUN	19	nmod
21	v	ADP	22	case
22	Chorvatsku	PROPN	20	nmod
23	,	PUNCT	25	punct
24	která	DET	25	nsubj
25	má	VERB	19	acl:relcl
26	nyní	ADV	25	advmod
27	spojení	NOUN	25	obj
28	s	ADP	31	case
29	dalšími	ADJ	31	amod
30	srbskými	ADJ	31	amod
31	územími	NOUN	27	nmod
32	včetně	ADV	33	case
33	Bělehradu	PROPN	31	nmod
34	.	PUNCT	3	punct