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:
The total number of casualties from hundreds of suicide murders within Israel in the last three years is much smaller than those due to car accidents.
Postion	Tokenization
1	The
2	total
3	number
4	of
5	casualties
6	from
7	hundreds
8	of
9	suicide
10	murders
11	within
12	Israel
13	in
14	the
15	last
16	three
17	years
18	is
19	much
20	smaller
21	than
22	those
23	due
24	to
25	car
26	accidents
27	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	total	ADJ	3	amod
3	number	NOUN	20	nsubj
4	of	ADP	5	case
5	casualties	NOUN	3	nmod
6	from	ADP	7	case
7	hundreds	NOUN	5	nmod
8	of	ADP	10	case
9	suicide	NOUN	10	compound
10	murders	NOUN	7	nmod
11	within	ADP	12	case
12	Israel	PROPN	10	nmod
13	in	ADP	17	case
14	the	DET	17	det
15	last	ADJ	17	amod
16	three	NUM	17	nummod
17	years	NOUN	10	nmod
18	is	AUX	20	cop
19	much	ADV	20	advmod
20	smaller	ADJ	0	root
21	than	ADP	22	case
22	those	PRON	20	obl
23	due	ADP	26	case
24	to	ADP	23	fixed
25	car	NOUN	26	compound
26	accidents	NOUN	22	nmod
27	.	PUNCT	20	punct