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 Hatfill Theory ironically might best be understood as an Al Qaeda theory, with a coincidental Malaysian connection adding to the other circumstances.
Postion	Tokenization
1	The
2	Hatfill
3	Theory
4	ironically
5	might
6	best
7	be
8	understood
9	as
10	an
11	Al
12	Qaeda
13	theory
14	,
15	with
16	a
17	coincidental
18	Malaysian
19	connection
20	adding
21	to
22	the
23	other
24	circumstances
25	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	Hatfill	PROPN	3	compound
3	Theory	NOUN	8	nsubj:pass
4	ironically	ADV	8	advmod
5	might	AUX	8	aux
6	best	ADV	8	advmod
7	be	AUX	8	aux:pass
8	understood	VERB	0	root
9	as	ADP	13	case
10	an	DET	13	det
11	Al	PROPN	12	compound
12	Qaeda	PROPN	13	compound
13	theory	NOUN	8	obl
14	,	PUNCT	13	punct
15	with	ADP	19	case
16	a	DET	19	det
17	coincidental	ADJ	19	amod
18	Malaysian	ADJ	19	amod
19	connection	NOUN	13	nmod
20	adding	VERB	19	acl
21	to	ADP	24	case
22	the	DET	24	det
23	other	ADJ	24	amod
24	circumstances	NOUN	20	obl
25	.	PUNCT	8	punct