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:
"El Colombiano" de Medellín tituló "¡Qué rajada! y asegura que" La tranquilidad de los días previos se convirtió en gran preocupación luego de la pobrísima actuación de Nacional en Santiago.
Postion	Tokenization
1	"
2	El
3	Colombiano
4	"
5	de
6	Medellín
7	tituló
8	"
9	¡Qué
10	rajada!
11	y
12	asegura
13	que
14	"
15	La
16	tranquilidad
17	de
18	los
19	días
20	previos
21	se
22	convirtió
23	en
24	gran
25	preocupación
26	luego
27	de
28	la
29	pobrísima
30	actuación
31	de
32	Nacional
33	en
34	Santiago
35	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	El	DET	3	det
3	Colombiano	PROPN	7	nsubj
4	"	PUNCT	3	punct
5	de	ADP	6	case
6	Medellín	PROPN	3	nmod
7	tituló	VERB	0	root
8	"	PUNCT	9	punct
9	¡Qué	PROPN	7	obj
10	rajada!	PROPN	9	flat
11	y	CCONJ	12	cc
12	asegura	VERB	7	conj
13	que	SCONJ	22	mark
14	"	PUNCT	22	punct
15	La	DET	16	det
16	tranquilidad	NOUN	22	nsubj
17	de	ADP	19	case
18	los	DET	19	det
19	días	NOUN	16	nmod
20	previos	ADJ	19	amod
21	se	PRON	22	expl:pv
22	convirtió	VERB	12	ccomp
23	en	ADP	25	case
24	gran	ADJ	25	amod
25	preocupación	NOUN	22	obj
26	luego	ADV	30	case
27	de	ADP	26	fixed
28	la	DET	30	det
29	pobrísima	ADJ	30	amod
30	actuación	NOUN	22	obl
31	de	ADP	32	case
32	Nacional	PROPN	30	nmod
33	en	ADP	34	case
34	Santiago	PROPN	30	nmod
35	.	PUNCT	7	punct