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 FMI y el BM necesitan llevar en consideración un ajuste de políticas nacionales en el que se tengan en cuenta las condiciones del comercio local", agregó el representante de la UE.
Postion	Tokenization
1	"
2	El
3	FMI
4	y
5	el
6	BM
7	necesitan
8	llevar
9	en
10	consideración
11	un
12	ajuste
13	de
14	políticas
15	nacionales
16	en
17	el
18	que
19	se
20	tengan
21	en
22	cuenta
23	las
24	condiciones
25	del
26	comercio
27	local
28	"
29	,
30	agregó
31	el
32	representante
33	de
34	la
35	UE
36	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	7	punct
2	El	DET	3	det
3	FMI	PROPN	7	nsubj
4	y	CCONJ	6	cc
5	el	DET	6	det
6	BM	PROPN	3	conj
7	necesitan	VERB	30	ccomp
8	llevar	VERB	7	xcomp
9	en	ADP	10	case
10	consideración	NOUN	8	obl
11	un	DET	12	det
12	ajuste	NOUN	8	obj
13	de	ADP	14	case
14	políticas	NOUN	12	nmod
15	nacionales	ADJ	14	amod
16	en	ADP	18	case
17	el	DET	18	det
18	que	PRON	20	obl
19	se	PRON	20	expl:pass
20	tengan	VERB	12	acl
21	en	ADP	22	case
22	cuenta	NOUN	20	compound
23	las	DET	24	det
24	condiciones	NOUN	20	nsubj
25	del	ADP	26	case
26	comercio	NOUN	24	nmod
27	local	ADJ	26	amod
28	"	PUNCT	7	punct
29	,	PUNCT	7	punct
30	agregó	VERB	0	root
31	el	DET	32	det
32	representante	NOUN	30	nsubj
33	de	ADP	35	case
34	la	DET	35	det
35	UE	PROPN	32	nmod
36	.	PUNCT	30	punct