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:
I've traveled to all of these places and could certainly tailor a trip to your needs based on budget, actual time allowed, your likes and dislikes.
Postion	Tokenization
1	I've
2	I
3	've
4	traveled
5	to
6	all
7	of
8	these
9	places
10	and
11	could
12	certainly
13	tailor
14	a
15	trip
16	to
17	your
18	needs
19	based
20	on
21	budget
22	,
23	actual
24	time
25	allowed
26	,
27	your
28	likes
29	and
30	dislikes
31	.
Position	Tokenization	UPOS	Head	Deprel
1	I've	_	None	_
2	I	PRON	3	nsubj
3	've	AUX	3	aux
4	traveled	VERB	0	root
5	to	ADP	5	case
6	all	DET	3	obl
7	of	ADP	8	case
8	these	DET	8	det
9	places	NOUN	5	nmod
10	and	CCONJ	12	cc
11	could	AUX	12	aux
12	certainly	ADV	12	advmod
13	tailor	VERB	3	conj
14	a	DET	14	det
15	trip	NOUN	12	obj
16	to	ADP	17	case
17	your	PRON	17	nmod:poss
18	needs	NOUN	12	obl
19	based	VERB	20	case
20	on	ADP	20	case
21	budget	NOUN	17	nmod
22	,	PUNCT	20	punct
23	actual	ADJ	23	amod
24	time	NOUN	20	list
25	allowed	VERB	23	acl
26	,	PUNCT	20	punct
27	your	PRON	27	nmod:poss
28	likes	NOUN	20	list
29	and	CCONJ	29	cc
30	dislikes	NOUN	27	conj
31	.	PUNCT	3	punct