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:
El alcalde de este pueblo de 350 habitantes resumió las soluciones informáticas que explicó al Príncipe en una frase: "cualquier municipio, por pequeño que sea, puede ser el centro de mundo".
Postion	Tokenization
1	El
2	alcalde
3	de
4	este
5	pueblo
6	de
7	350
8	habitantes
9	resumió
10	las
11	soluciones
12	informáticas
13	que
14	explicó
15	al
16	Príncipe
17	en
18	una
19	frase
20	:
21	"
22	cualquier
23	municipio
24	,
25	por
26	pequeño
27	que
28	sea
29	,
30	puede
31	ser
32	el
33	centro
34	de
35	mundo
36	"
37	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	alcalde	NOUN	9	nsubj
3	de	ADP	5	case
4	este	DET	5	det
5	pueblo	NOUN	2	nmod
6	de	ADP	8	case
7	350	NUM	8	nummod
8	habitantes	NOUN	5	nmod
9	resumió	VERB	0	root
10	las	DET	11	det
11	soluciones	NOUN	9	obj
12	informáticas	ADJ	11	amod
13	que	PRON	14	obj
14	explicó	VERB	11	acl
15	al	ADP	16	case
16	Príncipe	PROPN	14	obj
17	en	ADP	19	case
18	una	DET	19	det
19	frase	NOUN	14	obl
20	:	PUNCT	33	punct
21	"	PUNCT	33	punct
22	cualquier	DET	23	det
23	municipio	NOUN	33	nsubj
24	,	PUNCT	27	punct
25	por	ADP	27	case
26	pequeño	ADJ	27	amod
27	que	PRON	23	acl
28	sea	AUX	27	cop
29	,	PUNCT	27	punct
30	puede	AUX	33	aux
31	ser	AUX	33	cop
32	el	DET	33	det
33	centro	NOUN	19	acl
34	de	ADP	35	case
35	mundo	NOUN	33	nmod
36	"	PUNCT	33	punct
37	.	PUNCT	9	punct