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:
We had 30 guests for the event, and everyone came away from the evening impressed with not only the food, but the outstanding service as well.
Postion	Tokenization
1	We
2	had
3	30
4	guests
5	for
6	the
7	event
8	,
9	and
10	everyone
11	came
12	away
13	from
14	the
15	evening
16	impressed
17	with
18	not
19	only
20	the
21	food
22	,
23	but
24	the
25	outstanding
26	service
27	as
28	well
29	.
Position	Tokenization	UPOS	Head	Deprel
1	We	PRON	2	nsubj
2	had	VERB	0	root
3	30	NUM	4	nummod
4	guests	NOUN	2	obj
5	for	ADP	7	case
6	the	DET	7	det
7	event	NOUN	4	nmod
8	,	PUNCT	11	punct
9	and	CCONJ	11	cc
10	everyone	PRON	11	nsubj
11	came	VERB	2	conj
12	away	ADV	11	advmod
13	from	ADP	15	case
14	the	DET	15	det
15	evening	NOUN	12	obl
16	impressed	ADJ	10	acl
17	with	ADP	21	case
18	not	ADV	19	advmod
19	only	ADV	21	cc:preconj
20	the	DET	21	det
21	food	NOUN	16	obl
22	,	PUNCT	26	punct
23	but	CCONJ	26	cc
24	the	DET	26	det
25	outstanding	ADJ	26	amod
26	service	NOUN	21	conj
27	as	ADV	21	advmod
28	well	ADV	27	fixed
29	.	PUNCT	2	punct