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:
First, the nature of such an investigation is that we lack sufficient information to second-guess (or even know) what the FBI is doing.
Postion	Tokenization
1	First
2	,
3	the
4	nature
5	of
6	such
7	an
8	investigation
9	is
10	that
11	we
12	lack
13	sufficient
14	information
15	to
16	second
17	-
18	guess
19	(
20	or
21	even
22	know
23	)
24	what
25	the
26	FBI
27	is
28	doing
29	.
Position	Tokenization	UPOS	Head	Deprel
1	First	ADV	9	advmod
2	,	PUNCT	9	punct
3	the	DET	4	det
4	nature	NOUN	9	nsubj
5	of	ADP	8	case
6	such	DET	8	det:predet
7	an	DET	8	det
8	investigation	NOUN	4	nmod
9	is	VERB	0	root
10	that	SCONJ	12	mark
11	we	PRON	12	nsubj
12	lack	VERB	9	ccomp
13	sufficient	ADJ	14	amod
14	information	NOUN	12	obj
15	to	PART	18	mark
16	second	ADV	18	advmod
17	-	PUNCT	18	punct
18	guess	VERB	14	acl
19	(	PUNCT	18	punct
20	or	CCONJ	22	cc
21	even	ADV	22	advmod
22	know	VERB	18	conj
23	)	PUNCT	18	punct
24	what	PRON	28	obj
25	the	DET	26	det
26	FBI	PROPN	28	nsubj
27	is	AUX	28	aux
28	doing	VERB	18	ccomp
29	.	PUNCT	9	punct