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:
This would be on a walk-in basis as we want to have the freedom of finding a place that looks good (Not relying on pictures from the internet) and is in a spot we like.
Postion	Tokenization
1	This
2	would
3	be
4	on
5	a
6	walk
7	-
8	in
9	basis
10	as
11	we
12	want
13	to
14	have
15	the
16	freedom
17	of
18	finding
19	a
20	place
21	that
22	looks
23	good
24	(
25	Not
26	relying
27	on
28	pictures
29	from
30	the
31	internet
32	)
33	and
34	is
35	in
36	a
37	spot
38	we
39	like
40	.
Position	Tokenization	UPOS	Head	Deprel
1	This	PRON	9	nsubj
2	would	AUX	9	aux
3	be	AUX	9	cop
4	on	ADP	9	case
5	a	DET	9	det
6	walk	VERB	9	compound
7	-	PUNCT	8	punct
8	in	ADV	6	compound
9	basis	NOUN	0	root
10	as	SCONJ	12	mark
11	we	PRON	12	nsubj
12	want	VERB	9	advcl
13	to	PART	14	mark
14	have	VERB	12	xcomp
15	the	DET	16	det
16	freedom	NOUN	14	obj
17	of	SCONJ	18	mark
18	finding	VERB	16	acl
19	a	DET	20	det
20	place	NOUN	18	obj
21	that	PRON	22	nsubj
22	looks	VERB	20	acl:relcl
23	good	ADJ	22	xcomp
24	(	PUNCT	26	punct
25	Not	ADV	26	advmod
26	relying	VERB	22	parataxis
27	on	ADP	28	case
28	pictures	NOUN	26	obl
29	from	ADP	31	case
30	the	DET	31	det
31	internet	NOUN	28	nmod
32	)	PUNCT	26	punct
33	and	CCONJ	37	cc
34	is	AUX	37	cop
35	in	ADP	37	case
36	a	DET	37	det
37	spot	NOUN	22	conj
38	we	PRON	39	nsubj
39	like	VERB	37	acl:relcl
40	.	PUNCT	9	punct