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:
Turisme de Barcelona anunció ayer que se ha reunido con la empresa para buscar una solución al conflicto de manera que el servicio no se vea afectado.
Postion	Tokenization
1	Turisme
2	de
3	Barcelona
4	anunció
5	ayer
6	que
7	se
8	ha
9	reunido
10	con
11	la
12	empresa
13	para
14	buscar
15	una
16	solución
17	al
18	conflicto
19	de
20	manera
21	que
22	el
23	servicio
24	no
25	se
26	vea
27	afectado
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Turisme	PROPN	4	nsubj
2	de	ADP	3	case
3	Barcelona	PROPN	1	flat
4	anunció	VERB	0	root
5	ayer	ADV	4	advmod
6	que	SCONJ	9	mark
7	se	PRON	9	expl:pv
8	ha	AUX	9	aux
9	reunido	VERB	4	ccomp
10	con	ADP	12	case
11	la	DET	12	det
12	empresa	NOUN	9	obj
13	para	ADP	14	mark
14	buscar	VERB	9	advcl
15	una	DET	16	det
16	solución	NOUN	14	obj
17	al	ADP	18	case
18	conflicto	NOUN	14	obj
19	de	ADP	26	mark
20	manera	NOUN	19	fixed
21	que	SCONJ	19	fixed
22	el	DET	23	det
23	servicio	NOUN	26	nsubj
24	no	ADV	26	advmod
25	se	PRON	26	expl:pv
26	vea	VERB	9	advcl
27	afectado	ADJ	26	obj
28	.	PUNCT	4	punct