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:
Además, el Pentágono entregó hoy suministros hospitalarios por valor de 700.000 dólares a la provincia de Quang Tri, una de las más afectadas por el problema de las minas.
Postion	Tokenization
1	Además
2	,
3	el
4	Pentágono
5	entregó
6	hoy
7	suministros
8	hospitalarios
9	por
10	valor
11	de
12	700.000
13	dólares
14	a
15	la
16	provincia
17	de
18	Quang
19	Tri
20	,
21	una
22	de
23	las
24	más
25	afectadas
26	por
27	el
28	problema
29	de
30	las
31	minas
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Además	ADV	5	advmod
2	,	PUNCT	1	punct
3	el	DET	4	det
4	Pentágono	PROPN	5	nsubj
5	entregó	VERB	0	root
6	hoy	ADV	5	advmod
7	suministros	NOUN	5	obj
8	hospitalarios	ADJ	7	amod
9	por	ADP	10	case
10	valor	NOUN	7	nmod
11	de	ADP	13	case
12	700.000	NUM	13	nummod
13	dólares	NOUN	10	nmod
14	a	ADP	16	case
15	la	DET	16	det
16	provincia	NOUN	5	obj
17	de	ADP	18	case
18	Quang	PROPN	16	nmod
19	Tri	PROPN	18	flat
20	,	PUNCT	21	punct
21	una	DET	16	det
22	de	ADP	21	case
23	las	DET	25	det
24	más	ADV	25	advmod
25	afectadas	ADJ	21	appos
26	por	ADP	28	case
27	el	DET	28	det
28	problema	NOUN	25	obj
29	de	ADP	31	case
30	las	DET	31	det
31	minas	NOUN	28	nmod
32	.	PUNCT	5	punct