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:
According to Director of Central Intelligence George Tenet, al Qaeda’s ability to conduct an anthrax attack is one of the most immediate threats the United States is likely to face."
Postion	Tokenization
1	According
2	to
3	Director
4	of
5	Central
6	Intelligence
7	George
8	Tenet
9	,
10	al
11	Qaeda’s
12	Qaeda
13	’s
14	ability
15	to
16	conduct
17	an
18	anthrax
19	attack
20	is
21	one
22	of
23	the
24	most
25	immediate
26	threats
27	the
28	United
29	States
30	is
31	likely
32	to
33	face
34	.
35	"
Position	Tokenization	UPOS	Head	Deprel
1	According	VERB	7	case
2	to	ADP	7	case
3	Director	PROPN	7	compound
4	of	ADP	6	case
5	Central	PROPN	6	compound
6	Intelligence	PROPN	3	nmod
7	George	PROPN	20	obl
8	Tenet	PROPN	7	flat
9	,	PUNCT	20	punct
10	al	PROPN	11	compound
11	Qaeda’s	_	None	_
12	Qaeda	PROPN	13	nmod:poss
13	’s	PART	11	case
14	ability	NOUN	20	nsubj
15	to	PART	15	mark
16	conduct	VERB	13	acl
17	an	DET	18	det
18	anthrax	NOUN	18	compound
19	attack	NOUN	15	obj
20	is	AUX	20	cop
21	one	NUM	0	root
22	of	ADP	25	case
23	the	DET	25	det
24	most	ADV	24	advmod
25	immediate	ADJ	25	amod
26	threats	NOUN	20	nmod
27	the	DET	28	det
28	United	PROPN	28	compound
29	States	PROPN	30	nsubj
30	is	AUX	30	cop
31	likely	ADJ	25	acl:relcl
32	to	PART	32	mark
33	face	VERB	30	xcomp
34	.	PUNCT	20	punct
35	"	PUNCT	20	punct