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:
More people die from AIDS in one day in Africa than all the Russians who died in the hands of Chechnya-based Moslem suicide murderers since that conflict started.
Postion	Tokenization
1	More
2	people
3	die
4	from
5	AIDS
6	in
7	one
8	day
9	in
10	Africa
11	than
12	all
13	the
14	Russians
15	who
16	died
17	in
18	the
19	hands
20	of
21	Chechnya
22	-
23	based
24	Moslem
25	suicide
26	murderers
27	since
28	that
29	conflict
30	started
31	.
Position	Tokenization	UPOS	Head	Deprel
1	More	ADJ	2	amod
2	people	NOUN	3	nsubj
3	die	VERB	0	root
4	from	ADP	5	case
5	AIDS	NOUN	3	obl
6	in	ADP	8	case
7	one	NUM	8	nummod
8	day	NOUN	3	obl
9	in	ADP	10	case
10	Africa	PROPN	3	obl
11	than	ADP	14	case
12	all	DET	14	det:predet
13	the	DET	14	det
14	Russians	PROPN	1	obl
15	who	PRON	16	nsubj
16	died	VERB	14	acl:relcl
17	in	ADP	19	case
18	the	DET	19	det
19	hands	NOUN	16	obl
20	of	ADP	26	case
21	Chechnya	PROPN	23	compound
22	-	PUNCT	23	punct
23	based	VERB	26	amod
24	Moslem	ADJ	26	amod
25	suicide	NOUN	26	compound
26	murderers	NOUN	19	nmod
27	since	SCONJ	30	mark
28	that	DET	29	det
29	conflict	NOUN	30	nsubj
30	started	VERB	16	advcl
31	.	PUNCT	3	punct