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:
You will always find fascinating links at: Extreme Web Surfs http://extremewebsurfs.blogspot.com/ (nice urban wildlife post today) & Me and the Web http://maartenvt.blogspot.com/ Arts, History,Animals, Music,Games ,Politics,Technology, Fun and more!
Postion	Tokenization
1	You
2	will
3	always
4	find
5	fascinating
6	links
7	at
8	:
9	Extreme
10	Web
11	Surfs
12	http://extremewebsurfs.blogspot.com/
13	(
14	nice
15	urban
16	wildlife
17	post
18	today
19	)
20	&
21	Me
22	and
23	the
24	Web
25	http://maartenvt.blogspot.com/
26	Arts
27	,
28	History
29	,
30	Animals
31	,
32	Music
33	,
34	Games
35	,
36	Politics
37	,
38	Technology
39	,
40	Fun
41	and
42	more
43	!
Position	Tokenization	UPOS	Head	Deprel
1	You	PRON	4	nsubj
2	will	AUX	4	aux
3	always	ADV	4	advmod
4	find	VERB	0	root
5	fascinating	ADJ	6	amod
6	links	NOUN	4	obj
7	at	ADP	11	case
8	:	PUNCT	11	punct
9	Extreme	PROPN	11	compound
10	Web	PROPN	11	compound
11	Surfs	PROPN	4	obl
12	http://extremewebsurfs.blogspot.com/	X	11	appos
13	(	PUNCT	17	punct
14	nice	ADJ	17	amod
15	urban	ADJ	16	amod
16	wildlife	NOUN	17	compound
17	post	NOUN	11	parataxis
18	today	NOUN	17	nmod:tmod
19	)	PUNCT	17	punct
20	&	CCONJ	21	cc
21	Me	PRON	11	conj
22	and	CCONJ	24	cc
23	the	DET	24	det
24	Web	PROPN	21	conj
25	http://maartenvt.blogspot.com/	X	21	appos
26	Arts	NOUN	6	nmod:npmod
27	,	PUNCT	28	punct
28	History	NOUN	26	conj
29	,	PUNCT	30	punct
30	Animals	NOUN	26	conj
31	,	PUNCT	32	punct
32	Music	NOUN	26	conj
33	,	PUNCT	34	punct
34	Games	NOUN	26	conj
35	,	PUNCT	36	punct
36	Politics	NOUN	26	conj
37	,	PUNCT	38	punct
38	Technology	NOUN	26	conj
39	,	PUNCT	40	punct
40	Fun	NOUN	26	conj
41	and	CCONJ	42	cc
42	more	ADJ	26	conj
43	!	PUNCT	4	punct