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:
Senator Leahy was Chairman of both the Judiciary Committee overseeing the FBI and Appropriations Subcommittee in charge of foreign aid to these countries.
Postion	Tokenization
1	Senator
2	Leahy
3	was
4	Chairman
5	of
6	both
7	the
8	Judiciary
9	Committee
10	overseeing
11	the
12	FBI
13	and
14	Appropriations
15	Subcommittee
16	in
17	charge
18	of
19	foreign
20	aid
21	to
22	these
23	countries
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Senator	PROPN	4	nsubj
2	Leahy	PROPN	1	flat
3	was	AUX	4	cop
4	Chairman	NOUN	0	root
5	of	ADP	9	case
6	both	CCONJ	9	cc:preconj
7	the	DET	9	det
8	Judiciary	PROPN	9	compound
9	Committee	PROPN	4	nmod
10	overseeing	VERB	9	acl
11	the	DET	12	det
12	FBI	PROPN	10	obj
13	and	CCONJ	15	cc
14	Appropriations	PROPN	15	compound
15	Subcommittee	PROPN	9	conj
16	in	ADP	17	case
17	charge	NOUN	15	nmod
18	of	ADP	20	case
19	foreign	ADJ	20	amod
20	aid	NOUN	17	nmod
21	to	ADP	23	case
22	these	DET	23	det
23	countries	NOUN	20	nmod
24	.	PUNCT	4	punct