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:
Below I pasted the email text, and it has a link to a website that automatically plays this song the author of the email created.
Postion	Tokenization
1	Below
2	I
3	pasted
4	the
5	email
6	text
7	,
8	and
9	it
10	has
11	a
12	link
13	to
14	a
15	website
16	that
17	automatically
18	plays
19	this
20	song
21	the
22	author
23	of
24	the
25	email
26	created
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Below	ADV	3	advmod
2	I	PRON	3	nsubj
3	pasted	VERB	0	root
4	the	DET	6	det
5	email	NOUN	6	compound
6	text	NOUN	3	obj
7	,	PUNCT	10	punct
8	and	CCONJ	10	cc
9	it	PRON	10	nsubj
10	has	VERB	3	conj
11	a	DET	12	det
12	link	NOUN	10	obj
13	to	ADP	15	case
14	a	DET	15	det
15	website	NOUN	12	nmod
16	that	PRON	18	nsubj
17	automatically	ADV	18	advmod
18	plays	VERB	15	acl:relcl
19	this	DET	20	det
20	song	NOUN	18	obj
21	the	DET	22	det
22	author	NOUN	26	nsubj
23	of	ADP	25	case
24	the	DET	25	det
25	email	NOUN	22	nmod
26	created	VERB	20	acl:relcl
27	.	PUNCT	3	punct