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:
Estamos en una situación en la que no existe coherencia entre la política monetaria y las economías de los distintos países ", dijo Estrella, quien abogó por fijar" calendarios claros "en la ampliación.
Postion	Tokenization
1	Estamos
2	en
3	una
4	situación
5	en
6	la
7	que
8	no
9	existe
10	coherencia
11	entre
12	la
13	política
14	monetaria
15	y
16	las
17	economías
18	de
19	los
20	distintos
21	países
22	"
23	,
24	dijo
25	Estrella
26	,
27	quien
28	abogó
29	por
30	fijar
31	"
32	calendarios
33	claros
34	"
35	en
36	la
37	ampliación
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Estamos	AUX	4	cop
2	en	ADP	4	case
3	una	DET	4	det
4	situación	NOUN	24	ccomp
5	en	ADP	7	case
6	la	DET	7	det
7	que	PRON	9	obl
8	no	ADV	9	advmod
9	existe	VERB	4	acl
10	coherencia	NOUN	9	nsubj
11	entre	ADP	13	case
12	la	DET	13	det
13	política	NOUN	10	nmod
14	monetaria	ADJ	13	amod
15	y	CCONJ	17	cc
16	las	DET	17	det
17	economías	NOUN	13	conj
18	de	ADP	21	case
19	los	DET	21	det
20	distintos	DET	19	det
21	países	NOUN	17	nmod
22	"	PUNCT	4	punct
23	,	PUNCT	4	punct
24	dijo	VERB	0	root
25	Estrella	PROPN	24	nsubj
26	,	PUNCT	28	punct
27	quien	PRON	28	nsubj
28	abogó	VERB	25	acl
29	por	ADP	30	mark
30	fijar	VERB	28	xcomp
31	"	PUNCT	32	punct
32	calendarios	NOUN	30	obj
33	claros	ADJ	32	amod
34	"	PUNCT	32	punct
35	en	ADP	37	case
36	la	DET	37	det
37	ampliación	NOUN	30	obl
38	.	PUNCT	24	punct