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:
Elena's title is admin coordinator, and I know that Sara should not have this title, and honestly do not think that Elena should also.
Postion	Tokenization
1	Elena's
2	Elena
3	's
4	title
5	is
6	admin
7	coordinator
8	,
9	and
10	I
11	know
12	that
13	Sara
14	should
15	not
16	have
17	this
18	title
19	,
20	and
21	honestly
22	do
23	not
24	think
25	that
26	Elena
27	should
28	also
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Elena's	_	None	_
2	Elena	PROPN	3	nmod:poss
3	's	PART	1	case
4	title	NOUN	6	nsubj
5	is	AUX	6	cop
6	admin	ADJ	6	amod
7	coordinator	NOUN	0	root
8	,	PUNCT	10	punct
9	and	CCONJ	10	cc
10	I	PRON	10	nsubj
11	know	VERB	6	conj
12	that	SCONJ	15	mark
13	Sara	PROPN	15	nsubj
14	should	AUX	15	aux
15	not	PART	15	advmod
16	have	VERB	10	ccomp
17	this	DET	17	det
18	title	NOUN	15	obj
19	,	PUNCT	23	punct
20	and	CCONJ	23	cc
21	honestly	ADV	23	advmod
22	do	AUX	23	aux
23	not	PART	23	advmod
24	think	VERB	10	conj
25	that	SCONJ	26	mark
26	Elena	PROPN	26	nsubj
27	should	AUX	23	ccomp
28	also	ADV	23	advmod
29	.	PUNCT	6	punct