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 mean a 2 day stay was a ok stay even tho the manager looked like he was chineze and that we only slept and went out from 8 to 7 to see New York.
Postion	Tokenization
1	i
2	mean
3	a
4	2
5	day
6	stay
7	was
8	a
9	ok
10	stay
11	even
12	tho
13	the
14	manager
15	looked
16	like
17	he
18	was
19	chineze
20	and
21	that
22	we
23	only
24	slept
25	and
26	went
27	out
28	from
29	8
30	to
31	7
32	to
33	see
34	New
35	York
36	.
Position	Tokenization	UPOS	Head	Deprel
1	i	PRON	2	nsubj
2	mean	VERB	10	discourse
3	a	DET	6	det
4	2	NUM	5	nummod
5	day	NOUN	6	compound
6	stay	NOUN	10	nsubj
7	was	AUX	10	cop
8	a	DET	10	det
9	ok	ADJ	10	amod
10	stay	NOUN	0	root
11	even	ADV	15	advmod
12	tho	SCONJ	15	mark
13	the	DET	14	det
14	manager	NOUN	15	nsubj
15	looked	VERB	10	advcl
16	like	SCONJ	19	mark
17	he	PRON	19	nsubj
18	was	AUX	19	cop
19	chineze	ADJ	15	advcl
20	and	CCONJ	24	cc
21	that	SCONJ	24	mark
22	we	PRON	24	nsubj
23	only	ADV	24	advmod
24	slept	VERB	15	conj
25	and	CCONJ	26	cc
26	went	VERB	24	conj
27	out	ADV	26	advmod
28	from	ADP	29	case
29	8	NUM	26	obl
30	to	ADP	31	case
31	7	NUM	29	nmod
32	to	PART	33	mark
33	see	VERB	26	advcl
34	New	PROPN	35	compound
35	York	PROPN	33	obj
36	.	PUNCT	10	punct