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:
Also, the Global SAP team (Cheryl Johnson) would need Legal Name Change documentation from the Counterparty in order to change this name.
Postion	Tokenization
1	Also
2	,
3	the
4	Global
5	SAP
6	team
7	(
8	Cheryl
9	Johnson
10	)
11	would
12	need
13	Legal
14	Name
15	Change
16	documentation
17	from
18	the
19	Counterparty
20	in
21	order
22	to
23	change
24	this
25	name
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Also	ADV	12	advmod
2	,	PUNCT	12	punct
3	the	DET	6	det
4	Global	ADJ	6	amod
5	SAP	NOUN	6	compound
6	team	NOUN	12	nsubj
7	(	PUNCT	8	punct
8	Cheryl	PROPN	6	appos
9	Johnson	PROPN	8	flat
10	)	PUNCT	8	punct
11	would	AUX	12	aux
12	need	VERB	0	root
13	Legal	ADJ	15	amod
14	Name	NOUN	15	compound
15	Change	NOUN	16	compound
16	documentation	NOUN	12	obj
17	from	ADP	19	case
18	the	DET	19	det
19	Counterparty	NOUN	12	obl
20	in	ADP	23	mark
21	order	NOUN	20	fixed
22	to	PART	23	mark
23	change	VERB	12	advcl
24	this	DET	25	det
25	name	NOUN	23	obj
26	.	PUNCT	12	punct