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:
My second favorite would have to be the Guinea Pig - not quite as social with people as rats (at least mine wasn't) but more so than most hamsters or mice.
Postion	Tokenization
1	My
2	second
3	favorite
4	would
5	have
6	to
7	be
8	the
9	Guinea
10	Pig
11	-
12	not
13	quite
14	as
15	social
16	with
17	people
18	as
19	rats
20	(
21	at
22	least
23	mine
24	was
25	n't
26	)
27	but
28	more
29	so
30	than
31	most
32	hamsters
33	or
34	mice
35	.
Position	Tokenization	UPOS	Head	Deprel
1	My	PRON	3	nmod:poss
2	second	ADJ	3	amod
3	favorite	NOUN	5	nsubj
4	would	AUX	5	aux
5	have	VERB	0	root
6	to	PART	10	mark
7	be	AUX	10	cop
8	the	DET	10	det
9	Guinea	NOUN	10	compound
10	Pig	NOUN	5	xcomp
11	-	PUNCT	10	punct
12	not	ADV	13	advmod
13	quite	ADV	14	advmod
14	as	ADV	15	advmod
15	social	ADJ	10	parataxis
16	with	ADP	17	case
17	people	NOUN	15	obl
18	as	ADP	19	case
19	rats	NOUN	14	obl
20	(	PUNCT	21	punct
21	at	ADV	15	parataxis
22	least	ADV	21	fixed
23	mine	PRON	21	nsubj
24	was	AUX	21	cop
25	n't	PART	21	advmod
26	)	PUNCT	21	punct
27	but	CCONJ	29	cc
28	more	ADV	29	advmod
29	so	ADV	15	conj
30	than	ADP	32	case
31	most	ADJ	32	amod
32	hamsters	NOUN	29	obl
33	or	CCONJ	34	cc
34	mice	NOUN	32	conj
35	.	PUNCT	5	punct