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:
Assad the Father did not kill tens of thousands of his own citizens in one week in El Hamma in Syria because of Israel.
Postion	Tokenization
1	Assad
2	the
3	Father
4	did
5	not
6	kill
7	tens
8	of
9	thousands
10	of
11	his
12	own
13	citizens
14	in
15	one
16	week
17	in
18	El
19	Hamma
20	in
21	Syria
22	because
23	of
24	Israel
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Assad	PROPN	6	nsubj
2	the	DET	3	det
3	Father	PROPN	1	appos
4	did	AUX	6	aux
5	not	PART	6	advmod
6	kill	VERB	0	root
7	tens	NOUN	6	obj
8	of	ADP	9	case
9	thousands	NOUN	6	obj
10	of	ADP	13	case
11	his	PRON	13	nmod:poss
12	own	ADJ	13	amod
13	citizens	NOUN	9	nmod
14	in	ADP	16	case
15	one	NUM	16	nummod
16	week	NOUN	6	obl
17	in	ADP	19	case
18	El	PROPN	19	compound
19	Hamma	PROPN	6	obl
20	in	ADP	21	case
21	Syria	PROPN	19	nmod
22	because	ADP	24	case
23	of	ADP	22	fixed
24	Israel	PROPN	6	obl
25	.	PUNCT	6	punct