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:
"Mi capital siempre ha sido haber mantenido mi palabra", apostilló el ex-canciller para dar, a continuación, varios ejemplos políticos, como su promesa de sacar adelante el euro.
Postion	Tokenization
1	"
2	Mi
3	capital
4	siempre
5	ha
6	sido
7	haber
8	mantenido
9	mi
10	palabra
11	"
12	,
13	apostilló
14	el
15	ex-canciller
16	para
17	dar
18	,
19	a
20	continuación
21	,
22	varios
23	ejemplos
24	políticos
25	,
26	como
27	su
28	promesa
29	de
30	sacar
31	adelante
32	el
33	euro
34	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	8	punct
2	Mi	DET	3	det
3	capital	NOUN	8	nsubj
4	siempre	ADV	8	advmod
5	ha	AUX	8	aux
6	sido	AUX	8	cop
7	haber	AUX	8	aux
8	mantenido	VERB	13	ccomp
9	mi	DET	10	det
10	palabra	NOUN	8	obj
11	"	PUNCT	8	punct
12	,	PUNCT	8	punct
13	apostilló	VERB	0	root
14	el	DET	15	det
15	ex-canciller	NOUN	13	nsubj
16	para	ADP	17	mark
17	dar	VERB	13	advcl
18	,	PUNCT	19	punct
19	a	ADP	17	advmod
20	continuación	NOUN	19	fixed
21	,	PUNCT	19	punct
22	varios	DET	23	det
23	ejemplos	NOUN	17	obj
24	políticos	ADJ	23	amod
25	,	PUNCT	28	punct
26	como	SCONJ	28	mark
27	su	DET	28	det
28	promesa	NOUN	23	nmod
29	de	ADP	30	mark
30	sacar	VERB	28	acl
31	adelante	NOUN	30	compound
32	el	DET	33	det
33	euro	NOUN	30	obj
34	.	PUNCT	13	punct