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:
An enhanced position signoff process will be implemented prior to end Q1 covering gross tonnage, spread positions and summarised analyses for brand and locations.
Postion	Tokenization
1	An
2	enhanced
3	position
4	signoff
5	process
6	will
7	be
8	implemented
9	prior
10	to
11	end
12	Q1
13	covering
14	gross
15	tonnage
16	,
17	spread
18	positions
19	and
20	summarised
21	analyses
22	for
23	brand
24	and
25	locations
26	.
Position	Tokenization	UPOS	Head	Deprel
1	An	DET	5	det
2	enhanced	VERB	5	amod
3	position	NOUN	4	compound
4	signoff	NOUN	5	compound
5	process	NOUN	8	nsubj:pass
6	will	AUX	8	aux
7	be	AUX	8	aux:pass
8	implemented	VERB	0	root
9	prior	ADJ	11	case
10	to	ADP	9	fixed
11	end	NOUN	8	obl
12	Q1	NOUN	11	nmod:tmod
13	covering	VERB	8	advcl
14	gross	ADJ	15	amod
15	tonnage	NOUN	13	obj
16	,	PUNCT	18	punct
17	spread	NOUN	18	compound
18	positions	NOUN	15	conj
19	and	CCONJ	21	cc
20	summarised	VERB	21	amod
21	analyses	NOUN	15	conj
22	for	ADP	23	case
23	brand	NOUN	21	nmod
24	and	CCONJ	25	cc
25	locations	NOUN	23	conj
26	.	PUNCT	8	punct