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 frequent reports from Algeria about the murders of hundreds of civilians in one village or another by other Algerians have nothing to do with Israel.
Postion	Tokenization
1	The
2	frequent
3	reports
4	from
5	Algeria
6	about
7	the
8	murders
9	of
10	hundreds
11	of
12	civilians
13	in
14	one
15	village
16	or
17	another
18	by
19	other
20	Algerians
21	have
22	nothing
23	to
24	do
25	with
26	Israel
27	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	frequent	ADJ	3	amod
3	reports	NOUN	21	nsubj
4	from	ADP	5	case
5	Algeria	PROPN	3	nmod
6	about	ADP	8	case
7	the	DET	8	det
8	murders	NOUN	3	nmod
9	of	ADP	10	case
10	hundreds	NOUN	8	nmod
11	of	ADP	12	case
12	civilians	NOUN	10	nmod
13	in	ADP	15	case
14	one	NUM	15	nummod
15	village	NOUN	8	nmod
16	or	CCONJ	17	cc
17	another	DET	15	conj
18	by	ADP	20	case
19	other	ADJ	20	amod
20	Algerians	PROPN	8	nmod
21	have	VERB	0	root
22	nothing	PRON	21	obj
23	to	PART	24	mark
24	do	VERB	22	acl
25	with	ADP	26	case
26	Israel	PROPN	24	obl
27	.	PUNCT	21	punct