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:
We should allocate a piece to Global which would solve the problem of other Cargill people using the line, putting us over the limit, without me knowing...
Postion	Tokenization
1	We
2	should
3	allocate
4	a
5	piece
6	to
7	Global
8	which
9	would
10	solve
11	the
12	problem
13	of
14	other
15	Cargill
16	people
17	using
18	the
19	line
20	,
21	putting
22	us
23	over
24	the
25	limit
26	,
27	without
28	me
29	knowing
30	...
Position	Tokenization	UPOS	Head	Deprel
1	We	PRON	3	nsubj
2	should	AUX	3	aux
3	allocate	VERB	0	root
4	a	DET	5	det
5	piece	NOUN	3	obj
6	to	ADP	7	case
7	Global	PROPN	3	obl
8	which	PRON	10	nsubj
9	would	AUX	10	aux
10	solve	VERB	3	parataxis
11	the	DET	12	det
12	problem	NOUN	10	obj
13	of	ADP	16	case
14	other	ADJ	16	amod
15	Cargill	PROPN	16	compound
16	people	NOUN	12	nmod
17	using	VERB	16	acl
18	the	DET	19	det
19	line	NOUN	17	obj
20	,	PUNCT	17	punct
21	putting	VERB	17	advcl
22	us	PRON	21	obj
23	over	ADP	25	case
24	the	DET	25	det
25	limit	NOUN	21	obl
26	,	PUNCT	21	punct
27	without	SCONJ	29	mark
28	me	PRON	29	nsubj
29	knowing	VERB	21	advcl
30	...	PUNCT	3	punct