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: Do kambodžské vlády byly ve čtvrtek jmenovány dvě děti předsedy Nejvyšší národní rady Norodoma Sihanuka: princ Norodom Chakraphong se stal poradcem premiéra Hun Sena a princezna Bopha Devi bude náměstkyní ministra informací a kultury.
Position	Tokenization	UPOS	Head	Deprel
1	Do	ADP	3	case
2	kambodžské	ADJ	3	amod
3	vlády	NOUN	7	obl
4	byly	AUX	7	aux:pass
5	ve	ADP	6	case
6	čtvrtek	NOUN	7	obl
7	jmenovány	ADJ	0	root
8	dvě	NUM	9	nummod
9	děti	NOUN	7	nsubj:pass
10	předsedy	NOUN	9	nmod
11	Nejvyšší	ADJ	13	amod
12	národní	ADJ	13	amod
13	rady	NOUN	10	nmod
14	Norodoma	PROPN	10	flat
15	Sihanuka	PROPN	10	flat
16	:	PUNCT	21	punct
17	princ	NOUN	21	nsubj
18	Norodom	PROPN	17	flat
19	Chakraphong	PROPN	17	flat
20	se	PRON	21	expl:pv
21	stal	VERB	7	conj
22	poradcem	NOUN	21	obl:arg
23	premiéra	NOUN	22	nmod
24	Hun	PROPN	23	flat
25	Sena	PROPN	23	flat
26	a	CCONJ	31	cc
27	princezna	NOUN	28	nmod
28	Bopha	PROPN	31	nsubj
29	Devi	PROPN	28	flat
30	bude	AUX	31	cop
31	náměstkyní	NOUN	21	conj
32	ministra	NOUN	31	nmod
33	informací	NOUN	32	nmod
34	a	CCONJ	35	cc
35	kultury	NOUN	33	conj
36	.	PUNCT	7	punct