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 encantados de que se quede", añadió el dirigente, que ha considerado estos cuatro meses como un test para medir la fiabilidad de la plantilla.
Postion	Tokenization
1	"
2	Estamos
3	encantados
4	de
5	que
6	se
7	quede
8	"
9	,
10	añadió
11	el
12	dirigente
13	,
14	que
15	ha
16	considerado
17	estos
18	cuatro
19	meses
20	como
21	un
22	test
23	para
24	medir
25	la
26	fiabilidad
27	de
28	la
29	plantilla
30	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	Estamos	AUX	3	cop
3	encantados	ADJ	10	ccomp
4	de	ADP	7	mark
5	que	SCONJ	7	mark
6	se	PRON	7	expl:pv
7	quede	VERB	3	advcl
8	"	PUNCT	3	punct
9	,	PUNCT	3	punct
10	añadió	VERB	0	root
11	el	DET	12	det
12	dirigente	NOUN	10	nsubj
13	,	PUNCT	16	punct
14	que	PRON	16	nsubj
15	ha	AUX	16	aux
16	considerado	VERB	12	acl
17	estos	DET	19	det
18	cuatro	NUM	17	nummod
19	meses	NOUN	16	obj
20	como	SCONJ	22	mark
21	un	DET	22	det
22	test	NOUN	16	obj
23	para	ADP	24	mark
24	medir	VERB	22	acl
25	la	DET	26	det
26	fiabilidad	NOUN	24	obj
27	de	ADP	29	case
28	la	DET	29	det
29	plantilla	NOUN	26	nmod
30	.	PUNCT	10	punct