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:
Me acompañaba un muchacho que había logrado la proeza de escaparse del barrio; su familia seguía viviendo allí, pero él había conseguido un trabajo y una cama en la ciudad.
Postion	Tokenization
1	Me
2	acompañaba
3	un
4	muchacho
5	que
6	había
7	logrado
8	la
9	proeza
10	de
11	escaparse
12	escapar
13	se
14	del
15	barrio
16	;
17	su
18	familia
19	seguía
20	viviendo
21	allí
22	,
23	pero
24	él
25	había
26	conseguido
27	un
28	trabajo
29	y
30	una
31	cama
32	en
33	la
34	ciudad
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Me	PRON	2	obj
2	acompañaba	VERB	0	root
3	un	DET	4	det
4	muchacho	NOUN	2	nsubj
5	que	PRON	7	nsubj
6	había	AUX	7	aux
7	logrado	VERB	4	acl
8	la	DET	9	det
9	proeza	NOUN	7	obj
10	de	ADP	11	mark
11	escaparse	_	None	_
12	escapar	VERB	9	acl
13	se	PRON	11	expl:pv
14	del	ADP	14	case
15	barrio	NOUN	11	obl
16	;	PUNCT	2	punct
17	su	DET	17	det
18	familia	NOUN	18	nsubj
19	seguía	VERB	2	advcl
20	viviendo	VERB	18	xcomp
21	allí	ADV	18	advmod
22	,	PUNCT	25	punct
23	pero	CCONJ	25	cc
24	él	PRON	25	nsubj
25	había	AUX	25	aux
26	conseguido	VERB	19	conj
27	un	DET	27	det
28	trabajo	NOUN	25	obj
29	y	CCONJ	30	cc
30	una	DET	30	det
31	cama	NOUN	27	conj
32	en	ADP	33	case
33	la	DET	33	det
34	ciudad	NOUN	27	nmod
35	.	PUNCT	2	punct