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:
The family's attorney advises me that Aafia had no knowledge of chemicals (and that would not appear to be her training).
Postion	Tokenization
1	The
2	family's
3	family
4	's
5	attorney
6	advises
7	me
8	that
9	Aafia
10	had
11	no
12	knowledge
13	of
14	chemicals
15	(
16	and
17	that
18	would
19	not
20	appear
21	to
22	be
23	her
24	training
25	)
26	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	family's	_	None	_
3	family	NOUN	4	nmod:poss
4	's	PART	2	case
5	attorney	NOUN	5	nsubj
6	advises	VERB	0	root
7	me	PRON	5	obj
8	that	SCONJ	9	mark
9	Aafia	PROPN	9	nsubj
10	had	VERB	5	ccomp
11	no	DET	11	det
12	knowledge	NOUN	9	obj
13	of	ADP	13	case
14	chemicals	NOUN	11	nmod
15	(	PUNCT	5	punct
16	and	CCONJ	19	cc
17	that	PRON	19	nsubj
18	would	AUX	19	aux
19	not	PART	19	advmod
20	appear	VERB	5	conj
21	to	PART	23	mark
22	be	AUX	23	cop
23	her	PRON	23	nmod:poss
24	training	NOUN	19	xcomp
25	)	PUNCT	5	punct
26	.	PUNCT	5	punct