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:
Un equipo del programa Entre línies se ha desplazado a esta localidad del Bages para hablar con las personas que conviven con un problema, que, por el momento, no se sabe cuándo acabará.
Postion	Tokenization
1	Un
2	equipo
3	del
4	programa
5	Entre
6	línies
7	se
8	ha
9	desplazado
10	a
11	esta
12	localidad
13	del
14	Bages
15	para
16	hablar
17	con
18	las
19	personas
20	que
21	conviven
22	con
23	un
24	problema
25	,
26	que
27	,
28	por
29	el
30	momento
31	,
32	no
33	se
34	sabe
35	cuándo
36	acabará
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	2	det
2	equipo	NOUN	9	nsubj
3	del	ADP	4	case
4	programa	NOUN	2	nmod
5	Entre	ADP	6	case
6	línies	PROPN	4	appos
7	se	PRON	9	expl:pv
8	ha	AUX	9	aux
9	desplazado	VERB	0	root
10	a	ADP	12	case
11	esta	DET	12	det
12	localidad	NOUN	9	obl
13	del	ADP	14	case
14	Bages	PROPN	12	nmod
15	para	ADP	16	mark
16	hablar	VERB	9	advcl
17	con	ADP	19	case
18	las	DET	19	det
19	personas	NOUN	16	obl
20	que	PRON	21	nsubj
21	conviven	VERB	19	acl
22	con	ADP	24	case
23	un	DET	24	det
24	problema	NOUN	21	obl
25	,	PUNCT	34	punct
26	que	PRON	34	nsubj
27	,	PUNCT	30	punct
28	por	ADP	30	case
29	el	DET	30	det
30	momento	NOUN	34	obl
31	,	PUNCT	30	punct
32	no	ADV	34	advmod
33	se	PRON	34	expl:pass
34	sabe	VERB	24	acl
35	cuándo	PRON	36	obl
36	acabará	VERB	34	csubj
37	.	PUNCT	9	punct