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:
Andrés, junto a sus colegas de otros 42 municipios del Maestrazgo, conecta su pueblo a través de videoconferencias con otros con similares problemas de despoblación o envejecimiento, o con Bruselas, y por medio de la Red, elabora diarios telemáticos.
Postion	Tokenization
1	Andrés
2	,
3	junto
4	a
5	sus
6	colegas
7	de
8	otros
9	42
10	municipios
11	del
12	Maestrazgo
13	,
14	conecta
15	su
16	pueblo
17	a
18	través
19	de
20	videoconferencias
21	con
22	otros
23	con
24	similares
25	problemas
26	de
27	despoblación
28	o
29	envejecimiento
30	,
31	o
32	con
33	Bruselas
34	,
35	y
36	por
37	medio
38	de
39	la
40	Red
41	,
42	elabora
43	diarios
44	telemáticos
45	.
Position	Tokenization	UPOS	Head	Deprel
1	Andrés	PROPN	14	nsubj
2	,	PUNCT	6	punct
3	junto	ADJ	6	case
4	a	ADP	3	fixed
5	sus	DET	6	det
6	colegas	NOUN	1	nmod
7	de	ADP	10	case
8	otros	PRON	9	nmod
9	42	NUM	10	nummod
10	municipios	NOUN	6	nmod
11	del	ADP	12	case
12	Maestrazgo	PROPN	10	nmod
13	,	PUNCT	6	punct
14	conecta	VERB	0	root
15	su	DET	16	det
16	pueblo	NOUN	14	obj
17	a	ADP	20	case
18	través	NOUN	17	fixed
19	de	ADP	17	fixed
20	videoconferencias	NOUN	14	obl
21	con	ADP	22	case
22	otros	PRON	14	obj
23	con	ADP	25	case
24	similares	ADJ	25	amod
25	problemas	NOUN	22	nmod
26	de	ADP	27	case
27	despoblación	NOUN	25	nmod
28	o	CCONJ	29	cc
29	envejecimiento	NOUN	27	conj
30	,	PUNCT	33	punct
31	o	CCONJ	33	cc
32	con	ADP	33	case
33	Bruselas	PROPN	22	conj
34	,	PUNCT	42	punct
35	y	CCONJ	42	cc
36	por	ADP	40	case
37	medio	NOUN	36	fixed
38	de	ADP	36	fixed
39	la	DET	40	det
40	Red	PROPN	42	obl
41	,	PUNCT	40	punct
42	elabora	VERB	14	conj
43	diarios	NOUN	42	obj
44	telemáticos	ADJ	43	amod
45	.	PUNCT	14	punct