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:
And if you haven't heard by now, the roster of suspected terrorists has not a Tom, Dick or Harry among them:
Postion	Tokenization
1	And
2	if
3	you
4	haven't
5	have
6	n't
7	heard
8	by
9	now
10	,
11	the
12	roster
13	of
14	suspected
15	terrorists
16	has
17	not
18	a
19	Tom
20	,
21	Dick
22	or
23	Harry
24	among
25	them
26	:
Position	Tokenization	UPOS	Head	Deprel
1	And	CCONJ	15	cc
2	if	SCONJ	6	mark
3	you	PRON	6	nsubj
4	haven't	_	None	_
5	have	AUX	6	aux
6	n't	PART	6	advmod
7	heard	VERB	15	advcl
8	by	ADP	8	case
9	now	ADV	6	obl
10	,	PUNCT	15	punct
11	the	DET	11	det
12	roster	NOUN	15	nsubj
13	of	ADP	14	case
14	suspected	VERB	14	amod
15	terrorists	NOUN	11	nmod
16	has	VERB	0	root
17	not	ADV	15	advmod
18	a	DET	18	det
19	Tom	PROPN	15	obj
20	,	PUNCT	20	punct
21	Dick	PROPN	18	conj
22	or	CCONJ	22	cc
23	Harry	PROPN	18	conj
24	among	ADP	24	case
25	them	PRON	15	obl
26	:	PUNCT	15	punct