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:
Por ello, dijo estar preocupado por la actitud de Estados Unidos ante el problema de Colombia, que podría llevar a una internacionalización del conflicto, "que sería lo peor que puede ocurrir".
Postion	Tokenization
1	Por
2	ello
3	,
4	dijo
5	estar
6	preocupado
7	por
8	la
9	actitud
10	de
11	Estados
12	Unidos
13	ante
14	el
15	problema
16	de
17	Colombia
18	,
19	que
20	podría
21	llevar
22	a
23	una
24	internacionalización
25	del
26	conflicto
27	,
28	"
29	que
30	sería
31	lo
32	peor
33	que
34	puede
35	ocurrir
36	"
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	2	case
2	ello	PRON	4	obl
3	,	PUNCT	2	punct
4	dijo	VERB	0	root
5	estar	AUX	6	aux
6	preocupado	ADJ	4	obj
7	por	ADP	9	case
8	la	DET	9	det
9	actitud	NOUN	6	obj
10	de	ADP	11	case
11	Estados	PROPN	9	nmod
12	Unidos	PROPN	11	flat
13	ante	ADP	15	case
14	el	DET	15	det
15	problema	NOUN	9	nmod
16	de	ADP	17	case
17	Colombia	PROPN	15	nmod
18	,	PUNCT	21	punct
19	que	PRON	21	nsubj
20	podría	AUX	21	aux
21	llevar	VERB	9	acl
22	a	ADP	24	case
23	una	DET	24	det
24	internacionalización	NOUN	21	obj
25	del	ADP	26	case
26	conflicto	NOUN	24	nmod
27	,	PUNCT	30	punct
28	"	PUNCT	30	punct
29	que	PRON	30	nsubj
30	sería	AUX	24	acl
31	lo	PRON	35	det
32	peor	ADJ	35	amod
33	que	PRON	35	nsubj
34	puede	AUX	35	aux
35	ocurrir	VERB	30	ccomp
36	"	PUNCT	30	punct
37	.	PUNCT	4	punct