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:
Tato událost nejen naznačila, že s pařížskou dohodou není cosi v pořádku, ale navíc ještě Kambodžany probudila z letargie způsobené lety teroru.
Postion	Tokenization
1	Tato
2	událost
3	nejen
4	naznačila
5	,
6	že
7	s
8	pařížskou
9	dohodou
10	není
11	cosi
12	v
13	pořádku
14	,
15	ale
16	navíc
17	ještě
18	Kambodžany
19	probudila
20	z
21	letargie
22	způsobené
23	lety
24	teroru
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Tato	DET	2	det
2	událost	NOUN	4	nsubj
3	nejen	PART	4	cc
4	naznačila	VERB	0	root
5	,	PUNCT	13	punct
6	že	SCONJ	13	mark
7	s	ADP	9	case
8	pařížskou	ADJ	9	amod
9	dohodou	NOUN	13	obl:arg
10	není	AUX	13	cop
11	cosi	PRON	13	nsubj
12	v	ADP	13	case
13	pořádku	NOUN	4	ccomp
14	,	PUNCT	19	punct
15	ale	CCONJ	19	cc
16	navíc	ADV	19	advmod
17	ještě	ADV	19	advmod
18	Kambodžany	PROPN	19	obj
19	probudila	VERB	4	conj
20	z	ADP	21	case
21	letargie	NOUN	19	obl:arg
22	způsobené	ADJ	21	amod
23	lety	NOUN	22	obl:arg
24	teroru	NOUN	23	nmod
25	.	PUNCT	4	punct