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:
The rooms are SO clean, the managers/owners are the nicest people, the place feels so homey, and the location and grounds are beautiful.
Postion	Tokenization
1	The
2	rooms
3	are
4	SO
5	clean
6	,
7	the
8	managers
9	/
10	owners
11	are
12	the
13	nicest
14	people
15	,
16	the
17	place
18	feels
19	so
20	homey
21	,
22	and
23	the
24	location
25	and
26	grounds
27	are
28	beautiful
29	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	rooms	NOUN	5	nsubj
3	are	AUX	5	cop
4	SO	ADV	5	advmod
5	clean	ADJ	0	root
6	,	PUNCT	14	punct
7	the	DET	10	det
8	managers	NOUN	14	nsubj
9	/	PUNCT	10	cc
10	owners	NOUN	8	conj
11	are	AUX	14	cop
12	the	DET	14	det
13	nicest	ADJ	14	amod
14	people	NOUN	5	conj
15	,	PUNCT	18	punct
16	the	DET	17	det
17	place	NOUN	18	nsubj
18	feels	VERB	5	conj
19	so	ADV	20	advmod
20	homey	ADJ	18	xcomp
21	,	PUNCT	28	punct
22	and	CCONJ	28	cc
23	the	DET	24	det
24	location	NOUN	28	nsubj
25	and	CCONJ	26	cc
26	grounds	NOUN	24	conj
27	are	AUX	28	cop
28	beautiful	ADJ	5	conj
29	.	PUNCT	5	punct