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 were familiar with Search Engine Optimization strategies, but new nothing about Social Media - we just heard that it was the next big thing.
Postion	Tokenization
1	We
2	were
3	familiar
4	with
5	Search
6	Engine
7	Optimization
8	strategies
9	,
10	but
11	new
12	nothing
13	about
14	Social
15	Media
16	-
17	we
18	just
19	heard
20	that
21	it
22	was
23	the
24	next
25	big
26	thing
27	.
Position	Tokenization	UPOS	Head	Deprel
1	We	PRON	3	nsubj
2	were	AUX	3	cop
3	familiar	ADJ	0	root
4	with	ADP	8	case
5	Search	NOUN	6	compound
6	Engine	NOUN	7	compound
7	Optimization	NOUN	8	compound
8	strategies	NOUN	3	obl
9	,	PUNCT	11	punct
10	but	CCONJ	11	cc
11	new	VERB	3	conj
12	nothing	PRON	11	obj
13	about	ADP	15	case
14	Social	ADJ	15	amod
15	Media	NOUN	12	nmod
16	-	PUNCT	3	punct
17	we	PRON	19	nsubj
18	just	ADV	19	advmod
19	heard	VERB	3	parataxis
20	that	SCONJ	26	mark
21	it	PRON	26	nsubj
22	was	AUX	26	cop
23	the	DET	26	det
24	next	ADJ	26	amod
25	big	ADJ	26	amod
26	thing	NOUN	19	ccomp
27	.	PUNCT	3	punct