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:
The flowers were all that I hoped they would be, I have attended several funerals of late unfortunately and the flowers I recieved from Ana outshone them all.
Postion	Tokenization
1	The
2	flowers
3	were
4	all
5	that
6	I
7	hoped
8	they
9	would
10	be
11	,
12	I
13	have
14	attended
15	several
16	funerals
17	of
18	late
19	unfortunately
20	and
21	the
22	flowers
23	I
24	recieved
25	from
26	Ana
27	outshone
28	them
29	all
30	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	flowers	NOUN	4	nsubj
3	were	AUX	4	cop
4	all	DET	0	root
5	that	PRON	7	obj
6	I	PRON	7	nsubj
7	hoped	VERB	4	acl:relcl
8	they	PRON	10	nsubj
9	would	AUX	10	aux
10	be	VERB	7	ccomp
11	,	PUNCT	4	punct
12	I	PRON	14	nsubj
13	have	AUX	14	aux
14	attended	VERB	4	parataxis
15	several	ADJ	16	amod
16	funerals	NOUN	14	obj
17	of	ADP	18	case
18	late	ADV	14	obl
19	unfortunately	ADV	14	advmod
20	and	CCONJ	27	cc
21	the	DET	22	det
22	flowers	NOUN	27	nsubj
23	I	PRON	24	nsubj
24	recieved	VERB	22	acl:relcl
25	from	ADP	26	case
26	Ana	PROPN	24	obl
27	outshone	VERB	14	conj
28	them	PRON	27	obj
29	all	DET	28	det
30	.	PUNCT	4	punct