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 read the Civet Cat story from a little while ago, and tonight, when my Mom emailed me about it, I re-read it, and went to the website with the song the author of the email created.
Postion	Tokenization
1	I
2	read
3	the
4	Civet
5	Cat
6	story
7	from
8	a
9	little
10	while
11	ago
12	,
13	and
14	tonight
15	,
16	when
17	my
18	Mom
19	emailed
20	me
21	about
22	it
23	,
24	I
25	re-read
26	it
27	,
28	and
29	went
30	to
31	the
32	website
33	with
34	the
35	song
36	the
37	author
38	of
39	the
40	email
41	created
42	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	read	VERB	0	root
3	the	DET	6	det
4	Civet	NOUN	5	compound
5	Cat	NOUN	6	compound
6	story	NOUN	2	obj
7	from	ADP	11	case
8	a	DET	10	det
9	little	ADJ	10	amod
10	while	NOUN	11	obl:npmod
11	ago	ADV	6	nmod
12	,	PUNCT	25	punct
13	and	CCONJ	25	cc
14	tonight	NOUN	25	obl:tmod
15	,	PUNCT	25	punct
16	when	SCONJ	19	mark
17	my	PRON	18	nmod:poss
18	Mom	NOUN	19	nsubj
19	emailed	VERB	25	advcl
20	me	PRON	19	obj
21	about	ADP	22	case
22	it	PRON	19	obl
23	,	PUNCT	25	punct
24	I	PRON	25	nsubj
25	re-read	VERB	2	conj
26	it	PRON	25	obj
27	,	PUNCT	29	punct
28	and	CCONJ	29	cc
29	went	VERB	25	conj
30	to	ADP	32	case
31	the	DET	32	det
32	website	NOUN	29	obl
33	with	ADP	35	case
34	the	DET	35	det
35	song	NOUN	32	nmod
36	the	DET	37	det
37	author	NOUN	41	nsubj
38	of	ADP	40	case
39	the	DET	40	det
40	email	NOUN	37	nmod
41	created	VERB	35	acl:relcl
42	.	PUNCT	2	punct