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:
"Este encuentro ha servido para que Microsoft tenga en cuenta que puede instalar este centro en Cataluña, aunque la competencia de ciudades como Berlín o Londres es muy grande", advirtió Joaquim Triadú.
Postion	Tokenization
1	"
2	Este
3	encuentro
4	ha
5	servido
6	para
7	que
8	Microsoft
9	tenga
10	en
11	cuenta
12	que
13	puede
14	instalar
15	este
16	centro
17	en
18	Cataluña
19	,
20	aunque
21	la
22	competencia
23	de
24	ciudades
25	como
26	Berlín
27	o
28	Londres
29	es
30	muy
31	grande
32	"
33	,
34	advirtió
35	Joaquim
36	Triadú
37	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	5	punct
2	Este	DET	3	det
3	encuentro	NOUN	5	nsubj
4	ha	AUX	5	aux
5	servido	VERB	34	ccomp
6	para	ADP	9	mark
7	que	SCONJ	9	mark
8	Microsoft	PROPN	9	nsubj
9	tenga	VERB	5	ccomp
10	en	ADP	11	case
11	cuenta	NOUN	9	compound
12	que	SCONJ	14	mark
13	puede	AUX	14	aux
14	instalar	VERB	9	xcomp
15	este	DET	16	det
16	centro	NOUN	14	obj
17	en	ADP	18	case
18	Cataluña	PROPN	14	obl
19	,	PUNCT	31	punct
20	aunque	SCONJ	31	mark
21	la	DET	22	det
22	competencia	NOUN	31	nsubj
23	de	ADP	24	case
24	ciudades	NOUN	22	nmod
25	como	SCONJ	26	mark
26	Berlín	PROPN	24	nmod
27	o	CCONJ	28	cc
28	Londres	PROPN	26	conj
29	es	AUX	31	cop
30	muy	ADV	31	advmod
31	grande	ADJ	5	advcl
32	"	PUNCT	5	punct
33	,	PUNCT	5	punct
34	advirtió	VERB	0	root
35	Joaquim	PROPN	34	nsubj
36	Triadú	PROPN	35	flat
37	.	PUNCT	34	punct