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 Patrick Leahy at a Congressional hearing in the Spring of 2002 noted that the FBI had collected the Ames strain from 20 sources.
Postion	Tokenization
1	Senator
2	Patrick
3	Leahy
4	at
5	a
6	Congressional
7	hearing
8	in
9	the
10	Spring
11	of
12	2002
13	noted
14	that
15	the
16	FBI
17	had
18	collected
19	the
20	Ames
21	strain
22	from
23	20
24	sources
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Senator	PROPN	13	nsubj
2	Patrick	PROPN	1	flat
3	Leahy	PROPN	1	flat
4	at	ADP	7	case
5	a	DET	7	det
6	Congressional	ADJ	7	amod
7	hearing	NOUN	13	obl
8	in	ADP	10	case
9	the	DET	10	det
10	Spring	NOUN	7	nmod
11	of	ADP	12	case
12	2002	NUM	10	nmod
13	noted	VERB	0	root
14	that	SCONJ	18	mark
15	the	DET	16	det
16	FBI	PROPN	18	nsubj
17	had	AUX	18	aux
18	collected	VERB	13	ccomp
19	the	DET	21	det
20	Ames	PROPN	21	compound
21	strain	NOUN	18	obj
22	from	ADP	24	case
23	20	NUM	24	nummod
24	sources	NOUN	18	obl
25	.	PUNCT	13	punct