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:
Boje mezi Rudými Khmery a kambodžskými vládními jednotkami, které v minulých dnech dosáhly nejvyšší intenzity od roku 1989, způsobily zrušení plánovaných mírových rozhovorů.
Postion	Tokenization
1	Boje
2	mezi
3	Rudými
4	Khmery
5	a
6	kambodžskými
7	vládními
8	jednotkami
9	,
10	které
11	v
12	minulých
13	dnech
14	dosáhly
15	nejvyšší
16	intenzity
17	od
18	roku
19	1989
20	,
21	způsobily
22	zrušení
23	plánovaných
24	mírových
25	rozhovorů
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Boje	NOUN	21	nsubj
2	mezi	ADP	4	case
3	Rudými	ADJ	4	amod
4	Khmery	NOUN	1	nmod
5	a	CCONJ	8	cc
6	kambodžskými	ADJ	8	amod
7	vládními	ADJ	8	amod
8	jednotkami	NOUN	4	conj
9	,	PUNCT	14	punct
10	které	DET	14	nsubj
11	v	ADP	13	case
12	minulých	ADJ	13	amod
13	dnech	NOUN	14	obl
14	dosáhly	VERB	1	acl:relcl
15	nejvyšší	ADJ	16	amod
16	intenzity	NOUN	14	obl:arg
17	od	ADP	18	case
18	roku	NOUN	14	obl
19	1989	NUM	18	nummod
20	,	PUNCT	14	punct
21	způsobily	VERB	0	root
22	zrušení	NOUN	21	obj
23	plánovaných	ADJ	25	amod
24	mírových	ADJ	25	amod
25	rozhovorů	NOUN	22	nmod
26	.	PUNCT	21	punct