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:
Khalid Mohammed then told interrogators that Zacarias Moussaoui's inquiries about crop dusting may have related to Yazid Sufaat's anthrax manufacturing plans.
Postion	Tokenization
1	Khalid
2	Mohammed
3	then
4	told
5	interrogators
6	that
7	Zacarias
8	Moussaoui's
9	Moussaoui
10	's
11	inquiries
12	about
13	crop
14	dusting
15	may
16	have
17	related
18	to
19	Yazid
20	Sufaat's
21	Sufaat
22	's
23	anthrax
24	manufacturing
25	plans
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Khalid	PROPN	4	nsubj
2	Mohammed	PROPN	1	flat
3	then	ADV	4	advmod
4	told	VERB	0	root
5	interrogators	NOUN	4	obj
6	that	SCONJ	16	mark
7	Zacarias	PROPN	10	nmod:poss
8	Moussaoui's	_	None	_
9	Moussaoui	PROPN	7	flat
10	's	PART	7	case
11	inquiries	NOUN	16	nsubj
12	about	ADP	13	case
13	crop	NOUN	13	compound
14	dusting	NOUN	10	nmod
15	may	AUX	16	aux
16	have	AUX	16	aux
17	related	VERB	4	ccomp
18	to	ADP	23	case
19	Yazid	PROPN	23	nmod:poss
20	Sufaat's	_	None	_
21	Sufaat	PROPN	18	flat
22	's	PART	18	case
23	anthrax	NOUN	22	compound
24	manufacturing	NOUN	23	compound
25	plans	NOUN	16	obl
26	.	PUNCT	4	punct