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 FBI's fixation on Hatfill (at least as rumored by some reporters) may have stemmed from a warning by one Senator that careers hung in the balance.
Postion	Tokenization
1	The
2	FBI's
3	FBI
4	's
5	fixation
6	on
7	Hatfill
8	(
9	at
10	least
11	as
12	rumored
13	by
14	some
15	reporters
16	)
17	may
18	have
19	stemmed
20	from
21	a
22	warning
23	by
24	one
25	Senator
26	that
27	careers
28	hung
29	in
30	the
31	balance
32	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	FBI's	_	None	_
3	FBI	PROPN	4	nmod:poss
4	's	PART	2	case
5	fixation	NOUN	18	nsubj
6	on	ADP	6	case
7	Hatfill	PROPN	4	nmod
8	(	PUNCT	11	punct
9	at	ADV	9	case
10	least	ADV	10	obl
11	as	SCONJ	11	mark
12	rumored	VERB	18	advcl
13	by	ADP	14	case
14	some	DET	14	det
15	reporters	NOUN	11	obl
16	)	PUNCT	11	punct
17	may	AUX	18	aux
18	have	AUX	18	aux
19	stemmed	VERB	0	root
20	from	ADP	21	case
21	a	DET	21	det
22	warning	NOUN	18	obl
23	by	ADP	24	case
24	one	NUM	24	nummod
25	Senator	NOUN	21	nmod
26	that	SCONJ	27	mark
27	careers	NOUN	27	nsubj
28	hung	VERB	21	acl
29	in	ADP	30	case
30	the	DET	30	det
31	balance	NOUN	27	obl
32	.	PUNCT	18	punct