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:
Compositionally, this one is not my favorite, I would suggest trying a different crop because I dont think cutting her off at the calf looks great.
Postion	Tokenization
1	Compositionally
2	,
3	this
4	one
5	is
6	not
7	my
8	favorite
9	,
10	I
11	would
12	suggest
13	trying
14	a
15	different
16	crop
17	because
18	I
19	dont
20	do
21	nt
22	think
23	cutting
24	her
25	off
26	at
27	the
28	calf
29	looks
30	great
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Compositionally	ADV	8	advmod
2	,	PUNCT	8	punct
3	this	DET	4	det
4	one	NUM	8	nsubj
5	is	AUX	8	cop
6	not	PART	8	advmod
7	my	PRON	8	nmod:poss
8	favorite	NOUN	0	root
9	,	PUNCT	8	punct
10	I	PRON	12	nsubj
11	would	AUX	12	aux
12	suggest	VERB	8	parataxis
13	trying	VERB	12	xcomp
14	a	DET	16	det
15	different	ADJ	16	amod
16	crop	NOUN	13	obj
17	because	SCONJ	21	mark
18	I	PRON	21	nsubj
19	dont	_	None	_
20	do	AUX	21	aux
21	nt	PART	21	advmod
22	think	VERB	13	advcl
23	cutting	VERB	28	csubj
24	her	PRON	22	obj
25	off	ADP	22	compound:prt
26	at	ADP	27	case
27	the	DET	27	det
28	calf	NOUN	22	obl
29	looks	VERB	21	ccomp
30	great	ADJ	28	xcomp
31	.	PUNCT	8	punct