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:
Zawahiri likely targeted Senators Daschle and Leahy to receive anthrax letters, in addition to various media outlets, because of the appropriations made pursuant to the "Leahy Law" to military and security forces.
Postion	Tokenization
1	Zawahiri
2	likely
3	targeted
4	Senators
5	Daschle
6	and
7	Leahy
8	to
9	receive
10	anthrax
11	letters
12	,
13	in
14	addition
15	to
16	various
17	media
18	outlets
19	,
20	because
21	of
22	the
23	appropriations
24	made
25	pursuant
26	to
27	the
28	"
29	Leahy
30	Law
31	"
32	to
33	military
34	and
35	security
36	forces
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Zawahiri	PROPN	3	nsubj
2	likely	ADV	3	advmod
3	targeted	VERB	0	root
4	Senators	PROPN	3	obj
5	Daschle	PROPN	4	flat
6	and	CCONJ	7	cc
7	Leahy	PROPN	4	conj
8	to	PART	9	mark
9	receive	VERB	3	xcomp
10	anthrax	NOUN	11	compound
11	letters	NOUN	9	obj
12	,	PUNCT	3	punct
13	in	ADP	14	case
14	addition	NOUN	3	obl
15	to	ADP	18	case
16	various	ADJ	18	amod
17	media	NOUN	18	compound
18	outlets	NOUN	14	nmod
19	,	PUNCT	3	punct
20	because	ADP	23	case
21	of	ADP	20	fixed
22	the	DET	23	det
23	appropriations	NOUN	3	obl
24	made	VERB	23	acl
25	pursuant	ADV	24	advmod
26	to	ADP	30	case
27	the	DET	30	det
28	"	PUNCT	30	punct
29	Leahy	PROPN	30	compound
30	Law	PROPN	25	obl
31	"	PUNCT	30	punct
32	to	ADP	36	case
33	military	ADJ	36	amod
34	and	CCONJ	35	cc
35	security	NOUN	33	conj
36	forces	NOUN	24	obl
37	.	PUNCT	3	punct