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:
She was way easy to work with and made my wedding day so easy and she got some amazing pictures, not only of me, but of my family and friends.
Postion	Tokenization
1	She
2	was
3	way
4	easy
5	to
6	work
7	with
8	and
9	made
10	my
11	wedding
12	day
13	so
14	easy
15	and
16	she
17	got
18	some
19	amazing
20	pictures
21	,
22	not
23	only
24	of
25	me
26	,
27	but
28	of
29	my
30	family
31	and
32	friends
33	.
Position	Tokenization	UPOS	Head	Deprel
1	She	PRON	4	nsubj
2	was	AUX	4	cop
3	way	ADV	4	advmod
4	easy	ADJ	0	root
5	to	PART	6	mark
6	work	VERB	4	advcl
7	with	ADP	6	obl
8	and	CCONJ	9	cc
9	made	VERB	4	conj
10	my	PRON	12	nmod:poss
11	wedding	NOUN	12	compound
12	day	NOUN	9	obj
13	so	ADV	14	advmod
14	easy	ADJ	9	xcomp
15	and	CCONJ	17	cc
16	she	PRON	17	nsubj
17	got	VERB	4	conj
18	some	DET	20	det
19	amazing	ADJ	20	amod
20	pictures	NOUN	17	obj
21	,	PUNCT	20	punct
22	not	ADV	23	advmod
23	only	ADV	25	cc:preconj
24	of	ADP	25	case
25	me	PRON	20	nmod
26	,	PUNCT	30	punct
27	but	CCONJ	30	cc
28	of	ADP	30	case
29	my	PRON	30	nmod:poss
30	family	NOUN	25	conj
31	and	CCONJ	32	cc
32	friends	NOUN	30	conj
33	.	PUNCT	4	punct