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:
Mi guía iba evitando, precisamente, los lugares más poblados: avanzábamos por las callejas solitarias, huyendo de la gente, porque te podían rajar en mitad de una muchedumbre sin que nadie hiciera nada.
Postion	Tokenization
1	Mi
2	guía
3	iba
4	evitando
5	,
6	precisamente
7	,
8	los
9	lugares
10	más
11	poblados
12	:
13	avanzábamos
14	por
15	las
16	callejas
17	solitarias
18	,
19	huyendo
20	de
21	la
22	gente
23	,
24	porque
25	te
26	podían
27	rajar
28	en
29	mitad
30	de
31	una
32	muchedumbre
33	sin
34	que
35	nadie
36	hiciera
37	nada
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Mi	DET	2	det
2	guía	NOUN	4	nsubj
3	iba	AUX	4	aux
4	evitando	VERB	0	root
5	,	PUNCT	6	punct
6	precisamente	ADV	4	advmod
7	,	PUNCT	6	punct
8	los	DET	9	det
9	lugares	NOUN	4	obj
10	más	ADV	11	advmod
11	poblados	ADJ	9	amod
12	:	PUNCT	13	punct
13	avanzábamos	VERB	4	advcl
14	por	ADP	16	case
15	las	DET	16	det
16	callejas	NOUN	13	obl
17	solitarias	ADJ	16	amod
18	,	PUNCT	19	punct
19	huyendo	VERB	13	advcl
20	de	ADP	22	case
21	la	DET	22	det
22	gente	NOUN	19	obl
23	,	PUNCT	19	punct
24	porque	SCONJ	27	mark
25	te	PRON	27	obj
26	podían	AUX	27	aux
27	rajar	VERB	13	advcl
28	en	ADP	32	case
29	mitad	NOUN	28	fixed
30	de	ADP	28	fixed
31	una	DET	32	det
32	muchedumbre	NOUN	27	obl
33	sin	ADP	36	mark
34	que	SCONJ	36	mark
35	nadie	PRON	36	nsubj
36	hiciera	VERB	27	advcl
37	nada	PRON	36	obj
38	.	PUNCT	4	punct