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:
Vláda, která se v Kambodži drží u moci již třináct let, měla po celou tu dobu jedinou opozici v podobě gerilových skupin daleko od hlavního města.
Postion	Tokenization
1	Vláda
2	,
3	která
4	se
5	v
6	Kambodži
7	drží
8	u
9	moci
10	již
11	třináct
12	let
13	,
14	měla
15	po
16	celou
17	tu
18	dobu
19	jedinou
20	opozici
21	v
22	podobě
23	gerilových
24	skupin
25	daleko
26	od
27	hlavního
28	města
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Vláda	NOUN	14	nsubj
2	,	PUNCT	7	punct
3	která	DET	7	nsubj
4	se	PRON	7	obj
5	v	ADP	6	case
6	Kambodži	PROPN	7	obl
7	drží	VERB	1	acl:relcl
8	u	ADP	9	case
9	moci	NOUN	7	obl
10	již	ADV	11	advmod
11	třináct	NUM	12	nummod:gov
12	let	NOUN	7	obl
13	,	PUNCT	7	punct
14	měla	VERB	0	root
15	po	ADP	18	case
16	celou	ADJ	18	amod
17	tu	DET	18	det
18	dobu	NOUN	14	obl
19	jedinou	ADJ	20	amod
20	opozici	NOUN	14	obj
21	v	ADP	24	case
22	podobě	NOUN	21	fixed
23	gerilových	ADJ	24	amod
24	skupin	NOUN	20	nmod
25	daleko	ADV	14	advmod
26	od	ADP	28	case
27	hlavního	ADJ	28	amod
28	města	NOUN	25	obl
29	.	PUNCT	14	punct