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:
You take a boat across the river, then spend a day biking, eating at a local restaurant, buying souvenirs and doing other things that are geared towards tourists.
Postion	Tokenization
1	You
2	take
3	a
4	boat
5	across
6	the
7	river
8	,
9	then
10	spend
11	a
12	day
13	biking
14	,
15	eating
16	at
17	a
18	local
19	restaurant
20	,
21	buying
22	souvenirs
23	and
24	doing
25	other
26	things
27	that
28	are
29	geared
30	towards
31	tourists
32	.
Position	Tokenization	UPOS	Head	Deprel
1	You	PRON	2	nsubj
2	take	VERB	0	root
3	a	DET	4	det
4	boat	NOUN	2	obj
5	across	ADP	7	case
6	the	DET	7	det
7	river	NOUN	2	obl
8	,	PUNCT	10	punct
9	then	ADV	10	advmod
10	spend	VERB	2	conj
11	a	DET	12	det
12	day	NOUN	10	obj
13	biking	VERB	10	advcl
14	,	PUNCT	15	punct
15	eating	VERB	13	conj
16	at	ADP	19	case
17	a	DET	19	det
18	local	ADJ	19	amod
19	restaurant	NOUN	15	obl
20	,	PUNCT	21	punct
21	buying	VERB	13	conj
22	souvenirs	NOUN	21	obj
23	and	CCONJ	24	cc
24	doing	VERB	13	conj
25	other	ADJ	26	amod
26	things	NOUN	24	obj
27	that	PRON	29	nsubj:pass
28	are	AUX	29	aux:pass
29	geared	VERB	26	acl:relcl
30	towards	ADP	31	case
31	tourists	NOUN	29	obl
32	.	PUNCT	2	punct