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:
Según la circular interna distribuida entre las autoridades de los centros universitarios, dichas protestas podrían haber dado lugar a brotes de inestabilidad social no sólo en Pekín, sino también en otras grandes ciudades, como ocurrió en mayo pasado tras el bombardeo de la OTAN que destruyó la Embajada china en Belgrado durante la crisis de Kosovo.
Postion	Tokenization
1	Según
2	la
3	circular
4	interna
5	distribuida
6	entre
7	las
8	autoridades
9	de
10	los
11	centros
12	universitarios
13	,
14	dichas
15	protestas
16	podrían
17	haber
18	dado
19	lugar
20	a
21	brotes
22	de
23	inestabilidad
24	social
25	no
26	sólo
27	en
28	Pekín
29	,
30	sino
31	también
32	en
33	otras
34	grandes
35	ciudades
36	,
37	como
38	ocurrió
39	en
40	mayo
41	pasado
42	tras
43	el
44	bombardeo
45	de
46	la
47	OTAN
48	que
49	destruyó
50	la
51	Embajada
52	china
53	en
54	Belgrado
55	durante
56	la
57	crisis
58	de
59	Kosovo
60	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	3	case
2	la	DET	3	det
3	circular	NOUN	18	obl
4	interna	ADJ	3	amod
5	distribuida	ADJ	3	amod
6	entre	ADP	8	case
7	las	DET	8	det
8	autoridades	NOUN	5	obl
9	de	ADP	11	case
10	los	DET	11	det
11	centros	NOUN	8	nmod
12	universitarios	ADJ	11	amod
13	,	PUNCT	3	punct
14	dichas	ADJ	15	amod
15	protestas	NOUN	18	nsubj
16	podrían	AUX	18	aux
17	haber	AUX	18	aux
18	dado	VERB	0	root
19	lugar	NOUN	18	compound
20	a	ADP	21	case
21	brotes	NOUN	18	obj
22	de	ADP	23	case
23	inestabilidad	NOUN	21	nmod
24	social	ADJ	23	amod
25	no	PART	28	cc
26	sólo	ADV	25	fixed
27	en	ADP	28	case
28	Pekín	PROPN	21	nmod
29	,	PUNCT	35	punct
30	sino	CCONJ	35	cc
31	también	NOUN	30	fixed
32	en	ADP	35	case
33	otras	DET	35	det
34	grandes	ADJ	35	amod
35	ciudades	NOUN	28	conj
36	,	PUNCT	38	punct
37	como	SCONJ	38	mark
38	ocurrió	VERB	18	advcl
39	en	ADP	40	case
40	mayo	NOUN	38	obl
41	pasado	ADJ	40	amod
42	tras	ADP	44	case
43	el	DET	44	det
44	bombardeo	NOUN	38	obl
45	de	ADP	47	case
46	la	DET	47	det
47	OTAN	PROPN	44	nmod
48	que	PRON	49	nsubj
49	destruyó	VERB	44	acl
50	la	DET	51	det
51	Embajada	PROPN	49	obj
52	china	ADJ	51	amod
53	en	ADP	54	case
54	Belgrado	PROPN	51	nmod
55	durante	ADP	57	case
56	la	DET	57	det
57	crisis	NOUN	49	obl
58	de	ADP	59	case
59	Kosovo	PROPN	57	nmod
60	.	PUNCT	18	punct