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:
When those lucky enough not to have Herpes create a climate of shame and indignity for those of us who do, not only are they hurting us, but they are hurting themselves.
Postion	Tokenization
1	When
2	those
3	lucky
4	enough
5	not
6	to
7	have
8	Herpes
9	create
10	a
11	climate
12	of
13	shame
14	and
15	indignity
16	for
17	those
18	of
19	us
20	who
21	do
22	,
23	not
24	only
25	are
26	they
27	hurting
28	us
29	,
30	but
31	they
32	are
33	hurting
34	themselves
35	.
Position	Tokenization	UPOS	Head	Deprel
1	When	SCONJ	9	mark
2	those	PRON	9	nsubj
3	lucky	ADJ	2	amod
4	enough	ADV	3	advmod
5	not	ADV	7	advmod
6	to	PART	7	mark
7	have	VERB	3	advcl
8	Herpes	NOUN	7	obj
9	create	VERB	27	advcl
10	a	DET	11	det
11	climate	NOUN	9	obj
12	of	ADP	13	case
13	shame	NOUN	11	nmod
14	and	CCONJ	15	cc
15	indignity	NOUN	13	conj
16	for	ADP	17	case
17	those	PRON	9	obl
18	of	ADP	19	case
19	us	PRON	17	nmod
20	who	PRON	21	nsubj
21	do	VERB	17	acl:relcl
22	,	PUNCT	27	punct
23	not	ADV	24	advmod
24	only	ADV	27	cc:preconj
25	are	AUX	27	aux
26	they	PRON	27	nsubj
27	hurting	VERB	0	root
28	us	PRON	27	obj
29	,	PUNCT	33	punct
30	but	CCONJ	33	cc
31	they	PRON	33	nsubj
32	are	AUX	33	aux
33	hurting	VERB	27	conj
34	themselves	PRON	33	obj
35	.	PUNCT	27	punct