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 encourage your recipients to forward this along to their contacts, and so on, so that the movement to help her grows exponentially.
Postion	Tokenization
1	Also
2	encourage
3	your
4	recipients
5	to
6	forward
7	this
8	along
9	to
10	their
11	contacts
12	,
13	and
14	so
15	on
16	,
17	so
18	that
19	the
20	movement
21	to
22	help
23	her
24	grows
25	exponentially
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Also	ADV	2	advmod
2	encourage	VERB	0	root
3	your	PRON	4	nmod:poss
4	recipients	NOUN	2	obj
5	to	PART	6	mark
6	forward	VERB	2	xcomp
7	this	PRON	6	obj
8	along	ADV	6	advmod
9	to	ADP	11	case
10	their	PRON	11	nmod:poss
11	contacts	NOUN	6	obl
12	,	PUNCT	15	punct
13	and	CCONJ	15	cc
14	so	ADV	15	advmod
15	on	ADV	6	advmod
16	,	PUNCT	2	punct
17	so	SCONJ	24	mark
18	that	SCONJ	17	fixed
19	the	DET	20	det
20	movement	NOUN	24	nsubj
21	to	PART	22	mark
22	help	VERB	20	acl
23	her	PRON	22	obj
24	grows	VERB	2	advcl
25	exponentially	ADV	24	advmod
26	.	PUNCT	2	punct