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:
If the latter is the case, we could place both Sara and Elena in a specialist job group ( the salary range is 33-66K).
Postion	Tokenization
1	If
2	the
3	latter
4	is
5	the
6	case
7	,
8	we
9	could
10	place
11	both
12	Sara
13	and
14	Elena
15	in
16	a
17	specialist
18	job
19	group
20	(
21	the
22	salary
23	range
24	is
25	33
26	-
27	66
28	K
29	)
30	.
Position	Tokenization	UPOS	Head	Deprel
1	If	SCONJ	6	mark
2	the	DET	3	det
3	latter	ADJ	6	nsubj
4	is	AUX	6	cop
5	the	DET	6	det
6	case	NOUN	10	advcl
7	,	PUNCT	10	punct
8	we	PRON	10	nsubj
9	could	AUX	10	aux
10	place	VERB	0	root
11	both	CCONJ	12	cc:preconj
12	Sara	PROPN	10	obj
13	and	CCONJ	14	cc
14	Elena	PROPN	12	conj
15	in	ADP	19	case
16	a	DET	19	det
17	specialist	NOUN	18	compound
18	job	NOUN	19	compound
19	group	NOUN	10	obl
20	(	PUNCT	28	punct
21	the	DET	23	det
22	salary	NOUN	23	compound
23	range	NOUN	28	nsubj
24	is	AUX	28	cop
25	33	NUM	28	compound
26	-	SYM	27	case
27	66	NUM	25	nmod
28	K	NUM	10	parataxis
29	)	PUNCT	28	punct
30	.	PUNCT	10	punct