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:
Everyone was friendly from the receptionist to the surgeon herself, putting me at my ease and explaining the whole process, both initially and then as we went along.
Postion	Tokenization
1	Everyone
2	was
3	friendly
4	from
5	the
6	receptionist
7	to
8	the
9	surgeon
10	herself
11	,
12	putting
13	me
14	at
15	my
16	ease
17	and
18	explaining
19	the
20	whole
21	process
22	,
23	both
24	initially
25	and
26	then
27	as
28	we
29	went
30	along
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Everyone	PRON	3	nsubj
2	was	AUX	3	cop
3	friendly	ADJ	0	root
4	from	ADP	6	case
5	the	DET	6	det
6	receptionist	NOUN	3	obl
7	to	ADP	9	case
8	the	DET	9	det
9	surgeon	NOUN	6	nmod
10	herself	PRON	9	nmod:npmod
11	,	PUNCT	3	punct
12	putting	VERB	3	advcl
13	me	PRON	12	obj
14	at	ADP	16	case
15	my	PRON	16	nmod:poss
16	ease	NOUN	12	obl
17	and	CCONJ	18	cc
18	explaining	VERB	12	conj
19	the	DET	21	det
20	whole	ADJ	21	amod
21	process	NOUN	18	obj
22	,	PUNCT	18	punct
23	both	CCONJ	24	cc:preconj
24	initially	ADV	18	advmod
25	and	CCONJ	29	cc
26	then	ADV	29	advmod
27	as	SCONJ	29	mark
28	we	PRON	29	nsubj
29	went	VERB	24	conj
30	along	ADV	29	advmod
31	.	PUNCT	3	punct