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:
As agent Van Harp, then head of the Amerithrax investigation said, the information coming from Khalid Mohammed is classified with the authorities releasing only certain limited information.
Postion	Tokenization
1	As
2	agent
3	Van
4	Harp
5	,
6	then
7	head
8	of
9	the
10	Amerithrax
11	investigation
12	said
13	,
14	the
15	information
16	coming
17	from
18	Khalid
19	Mohammed
20	is
21	classified
22	with
23	the
24	authorities
25	releasing
26	only
27	certain
28	limited
29	information
30	.
Position	Tokenization	UPOS	Head	Deprel
1	As	SCONJ	12	mark
2	agent	NOUN	3	compound
3	Van	PROPN	12	nsubj
4	Harp	PROPN	3	flat
5	,	PUNCT	3	punct
6	then	ADV	7	advmod
7	head	NOUN	3	appos
8	of	ADP	11	case
9	the	DET	11	det
10	Amerithrax	PROPN	11	compound
11	investigation	NOUN	7	nmod
12	said	VERB	21	advcl
13	,	PUNCT	21	punct
14	the	DET	15	det
15	information	NOUN	21	nsubj
16	coming	VERB	15	acl
17	from	ADP	18	case
18	Khalid	PROPN	16	obl
19	Mohammed	PROPN	18	flat
20	is	AUX	21	cop
21	classified	ADJ	0	root
22	with	SCONJ	25	mark
23	the	DET	24	det
24	authorities	NOUN	25	nsubj
25	releasing	VERB	21	advcl
26	only	ADV	29	advmod
27	certain	ADJ	29	amod
28	limited	ADJ	29	amod
29	information	NOUN	25	obj
30	.	PUNCT	21	punct