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 President has also said he would like to see Israel wiped off the map which he couldn't even begin to try without nuclear weapons.
Postion	Tokenization
1	The
2	President
3	has
4	also
5	said
6	he
7	would
8	like
9	to
10	see
11	Israel
12	wiped
13	off
14	the
15	map
16	which
17	he
18	couldn't
19	could
20	n't
21	even
22	begin
23	to
24	try
25	without
26	nuclear
27	weapons
28	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	President	PROPN	5	nsubj
3	has	AUX	5	aux
4	also	ADV	5	advmod
5	said	VERB	0	root
6	he	PRON	8	nsubj
7	would	AUX	8	aux
8	like	VERB	5	ccomp
9	to	PART	10	mark
10	see	VERB	8	xcomp
11	Israel	PROPN	10	obj
12	wiped	VERB	10	xcomp
13	off	ADP	15	case
14	the	DET	15	det
15	map	NOUN	12	obl
16	which	PRON	12	obj
17	he	PRON	21	nsubj
18	couldn't	_	None	_
19	could	AUX	21	aux
20	n't	PART	21	advmod
21	even	ADV	21	advmod
22	begin	VERB	10	advcl
23	to	PART	23	mark
24	try	VERB	21	xcomp
25	without	ADP	26	case
26	nuclear	ADJ	26	amod
27	weapons	NOUN	23	obl
28	.	PUNCT	5	punct