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:
Otro temor invocado por la academia es un posible tratamiento "de todo lo que nos separa", que pudiera conducir a la "xenofobia y el racismo" entre los escolares.
Postion	Tokenization
1	Otro
2	temor
3	invocado
4	por
5	la
6	academia
7	es
8	un
9	posible
10	tratamiento
11	"
12	de
13	todo
14	lo
15	que
16	nos
17	separa
18	"
19	,
20	que
21	pudiera
22	conducir
23	a
24	la
25	"
26	xenofobia
27	y
28	el
29	racismo
30	"
31	entre
32	los
33	escolares
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Otro	DET	2	det
2	temor	NOUN	10	nsubj
3	invocado	ADJ	2	amod
4	por	ADP	6	case
5	la	DET	6	det
6	academia	NOUN	3	obj
7	es	AUX	10	cop
8	un	DET	10	det
9	posible	ADJ	10	amod
10	tratamiento	NOUN	0	root
11	"	PUNCT	17	punct
12	de	ADP	17	mark
13	todo	DET	14	det
14	lo	PRON	17	det
15	que	PRON	17	nsubj
16	nos	PRON	17	obj
17	separa	VERB	10	acl
18	"	PUNCT	17	punct
19	,	PUNCT	22	punct
20	que	PRON	22	nsubj
21	pudiera	AUX	22	aux
22	conducir	VERB	10	acl
23	a	ADP	26	case
24	la	DET	26	det
25	"	PUNCT	26	punct
26	xenofobia	NOUN	22	obj
27	y	CCONJ	29	cc
28	el	DET	29	det
29	racismo	NOUN	26	conj
30	"	PUNCT	26	punct
31	entre	ADP	33	case
32	los	DET	33	det
33	escolares	NOUN	22	obl
34	.	PUNCT	10	punct