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 presidente estadounidense dijo el miércoles en Lisboa que la retirada israelí abre "una nueva situación" que aumenta el coste de no lograr un acuerdo rápidamente, aunque también hace crecer los beneficios de lograr
Postion	Tokenization
1	El
2	presidente
3	estadounidense
4	dijo
5	el
6	miércoles
7	en
8	Lisboa
9	que
10	la
11	retirada
12	israelí
13	abre
14	"
15	una
16	nueva
17	situación
18	"
19	que
20	aumenta
21	el
22	coste
23	de
24	no
25	lograr
26	un
27	acuerdo
28	rápidamente
29	,
30	aunque
31	también
32	hace
33	crecer
34	los
35	beneficios
36	de
37	lograr
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	4	nsubj
3	estadounidense	ADJ	2	amod
4	dijo	VERB	0	root
5	el	DET	6	det
6	miércoles	NOUN	4	obl
7	en	ADP	8	case
8	Lisboa	PROPN	4	obl
9	que	SCONJ	13	mark
10	la	DET	11	det
11	retirada	NOUN	13	nsubj
12	israelí	ADJ	11	amod
13	abre	VERB	4	ccomp
14	"	PUNCT	17	punct
15	una	DET	17	det
16	nueva	ADJ	17	amod
17	situación	NOUN	13	obj
18	"	PUNCT	17	punct
19	que	PRON	20	nsubj
20	aumenta	VERB	17	acl
21	el	DET	22	det
22	coste	NOUN	20	obj
23	de	ADP	25	mark
24	no	ADV	25	advmod
25	lograr	VERB	22	acl
26	un	DET	27	det
27	acuerdo	NOUN	25	obj
28	rápidamente	ADV	25	advmod
29	,	PUNCT	32	punct
30	aunque	SCONJ	32	mark
31	también	ADV	32	advmod
32	hace	VERB	20	advcl
33	crecer	VERB	32	xcomp
34	los	DET	35	det
35	beneficios	NOUN	32	obj
36	de	ADP	37	mark
37	lograr	VERB	35	acl