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 lawyer advises me that Aafia did not have enough money to pay for airfare tickets for herself and the kids and called Ismat from the train station.
Postion	Tokenization
1	The
2	family's
3	family
4	's
5	lawyer
6	advises
7	me
8	that
9	Aafia
10	did
11	not
12	have
13	enough
14	money
15	to
16	pay
17	for
18	airfare
19	tickets
20	for
21	herself
22	and
23	the
24	kids
25	and
26	called
27	Ismat
28	from
29	the
30	train
31	station
32	.
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	lawyer	NOUN	5	nsubj
6	advises	VERB	0	root
7	me	PRON	5	obj
8	that	SCONJ	11	mark
9	Aafia	PROPN	11	nsubj
10	did	AUX	11	aux
11	not	PART	11	advmod
12	have	VERB	5	ccomp
13	enough	ADJ	13	amod
14	money	NOUN	11	obj
15	to	PART	15	mark
16	pay	VERB	12	ccomp
17	for	ADP	18	case
18	airfare	NOUN	18	compound
19	tickets	NOUN	15	obl
20	for	ADP	20	case
21	herself	PRON	18	nmod
22	and	CCONJ	23	cc
23	the	DET	23	det
24	kids	NOUN	20	conj
25	and	CCONJ	25	cc
26	called	VERB	11	conj
27	Ismat	PROPN	25	obj
28	from	ADP	30	case
29	the	DET	30	det
30	train	NOUN	30	compound
31	station	NOUN	25	obl
32	.	PUNCT	5	punct