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:
We've booked Italy tickets this week for departing Houston on Friday, May 24 to Newark/Rome and returning on Sunday, June 9 from Rome to Newark/Houston.
Postion	Tokenization
1	We've
2	We
3	've
4	booked
5	Italy
6	tickets
7	this
8	week
9	for
10	departing
11	Houston
12	on
13	Friday
14	,
15	May
16	24
17	to
18	Newark
19	/
20	Rome
21	and
22	returning
23	on
24	Sunday
25	,
26	June
27	9
28	from
29	Rome
30	to
31	Newark
32	/
33	Houston
34	.
Position	Tokenization	UPOS	Head	Deprel
1	We've	_	None	_
2	We	PRON	3	nsubj
3	've	AUX	3	aux
4	booked	VERB	0	root
5	Italy	PROPN	5	compound
6	tickets	NOUN	3	obj
7	this	DET	7	det
8	week	NOUN	3	obl:tmod
9	for	SCONJ	9	mark
10	departing	VERB	3	advcl
11	Houston	PROPN	9	obj
12	on	ADP	12	case
13	Friday	PROPN	9	obl
14	,	PUNCT	12	punct
15	May	PROPN	12	appos
16	24	NUM	14	nummod
17	to	ADP	17	case
18	Newark	PROPN	9	obl
19	/	PUNCT	19	cc
20	Rome	PROPN	17	conj
21	and	CCONJ	21	cc
22	returning	VERB	9	conj
23	on	ADP	23	case
24	Sunday	PROPN	21	obl
25	,	PUNCT	23	punct
26	June	PROPN	23	appos
27	9	NUM	25	nummod
28	from	ADP	28	case
29	Rome	PROPN	21	obl
30	to	ADP	30	case
31	Newark	PROPN	21	obl
32	/	PUNCT	32	cc
33	Houston	PROPN	30	conj
34	.	PUNCT	3	punct