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 white pages allowed me to get in touch with parents of my high school friends so that I could track people down one by one and the restaurant section is basically my cookbook.
Postion	Tokenization
1	The
2	white
3	pages
4	allowed
5	me
6	to
7	get
8	in
9	touch
10	with
11	parents
12	of
13	my
14	high
15	school
16	friends
17	so
18	that
19	I
20	could
21	track
22	people
23	down
24	one
25	by
26	one
27	and
28	the
29	restaurant
30	section
31	is
32	basically
33	my
34	cookbook
35	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	white	ADJ	3	amod
3	pages	NOUN	4	nsubj
4	allowed	VERB	0	root
5	me	PRON	4	obj
6	to	PART	7	mark
7	get	VERB	4	xcomp
8	in	ADP	9	case
9	touch	NOUN	7	obl
10	with	ADP	11	case
11	parents	NOUN	9	nmod
12	of	ADP	16	case
13	my	PRON	16	nmod:poss
14	high	ADJ	15	amod
15	school	NOUN	16	compound
16	friends	NOUN	11	nmod
17	so	SCONJ	21	mark
18	that	SCONJ	17	fixed
19	I	PRON	21	nsubj
20	could	AUX	21	aux
21	track	VERB	7	advcl
22	people	NOUN	21	obj
23	down	ADP	21	compound:prt
24	one	NUM	21	obl:npmod
25	by	ADP	26	case
26	one	NUM	24	nmod
27	and	CCONJ	34	cc
28	the	DET	30	det
29	restaurant	NOUN	30	compound
30	section	NOUN	34	nsubj
31	is	AUX	34	cop
32	basically	ADV	34	advmod
33	my	PRON	34	nmod:poss
34	cookbook	NOUN	4	conj
35	.	PUNCT	4	punct