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:
By definition most tourists will go to the best places so you might have to put up with a few tourists along the way.
Postion	Tokenization
1	By
2	definition
3	most
4	tourists
5	will
6	go
7	to
8	the
9	best
10	places
11	so
12	you
13	might
14	have
15	to
16	put
17	up
18	with
19	a
20	few
21	tourists
22	along
23	the
24	way
25	.
Position	Tokenization	UPOS	Head	Deprel
1	By	ADP	2	case
2	definition	NOUN	6	obl
3	most	ADJ	4	amod
4	tourists	NOUN	6	nsubj
5	will	AUX	6	aux
6	go	VERB	0	root
7	to	ADP	10	case
8	the	DET	10	det
9	best	ADJ	10	amod
10	places	NOUN	6	obl
11	so	ADV	14	advmod
12	you	PRON	14	nsubj
13	might	AUX	14	aux
14	have	VERB	6	parataxis
15	to	PART	16	mark
16	put	VERB	14	xcomp
17	up	ADP	16	compound:prt
18	with	ADP	21	case
19	a	DET	21	det
20	few	ADJ	21	amod
21	tourists	NOUN	16	obl
22	along	ADP	24	case
23	the	DET	24	det
24	way	NOUN	16	obl
25	.	PUNCT	6	punct