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:
También subrayó que las autoridades estadounidenses están trabajando con los aliados europeos en "combatir las múltiples amenazas a las que Colombia tiene que enfrentarse".
Postion	Tokenization
1	También
2	subrayó
3	que
4	las
5	autoridades
6	estadounidenses
7	están
8	trabajando
9	con
10	los
11	aliados
12	europeos
13	en
14	"
15	combatir
16	las
17	múltiples
18	amenazas
19	a
20	las
21	que
22	Colombia
23	tiene
24	que
25	enfrentarse
26	enfrentar
27	se
28	"
29	.
Position	Tokenization	UPOS	Head	Deprel
1	También	ADV	2	advmod
2	subrayó	VERB	0	root
3	que	SCONJ	8	mark
4	las	DET	5	det
5	autoridades	NOUN	8	nsubj
6	estadounidenses	ADJ	5	amod
7	están	AUX	8	aux
8	trabajando	VERB	2	ccomp
9	con	ADP	11	case
10	los	DET	11	det
11	aliados	NOUN	8	obl
12	europeos	ADJ	11	amod
13	en	ADP	15	mark
14	"	PUNCT	15	punct
15	combatir	VERB	8	advcl
16	las	DET	18	det
17	múltiples	ADJ	18	amod
18	amenazas	NOUN	15	obj
19	a	ADP	21	case
20	las	DET	21	det
21	que	PRON	25	obj
22	Colombia	PROPN	25	nsubj
23	tiene	VERB	18	acl
24	que	SCONJ	25	cc
25	enfrentarse	_	None	_
26	enfrentar	VERB	23	conj
27	se	PRON	25	expl:pv
28	"	PUNCT	15	punct
29	.	PUNCT	2	punct