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:
"Las resoluciones deben facilitar la evolución positiva de los derechos humanos en el mundo, y no recomendar acciones que puedan obstaculizar los procesos nacionales", opinó Rangel.
Postion	Tokenization
1	"
2	Las
3	resoluciones
4	deben
5	facilitar
6	la
7	evolución
8	positiva
9	de
10	los
11	derechos
12	humanos
13	en
14	el
15	mundo
16	,
17	y
18	no
19	recomendar
20	acciones
21	que
22	puedan
23	obstaculizar
24	los
25	procesos
26	nacionales
27	"
28	,
29	opinó
30	Rangel
31	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	5	punct
2	Las	DET	3	det
3	resoluciones	NOUN	5	nsubj
4	deben	AUX	5	aux
5	facilitar	VERB	29	xcomp
6	la	DET	7	det
7	evolución	NOUN	5	obj
8	positiva	ADJ	7	amod
9	de	ADP	11	case
10	los	DET	11	det
11	derechos	NOUN	7	nmod
12	humanos	NOUN	11	compound
13	en	ADP	15	case
14	el	DET	15	det
15	mundo	NOUN	7	nmod
16	,	PUNCT	19	punct
17	y	CCONJ	19	cc
18	no	ADV	19	advmod
19	recomendar	VERB	5	conj
20	acciones	NOUN	19	obj
21	que	PRON	23	nsubj
22	puedan	AUX	23	aux
23	obstaculizar	VERB	20	acl
24	los	DET	25	det
25	procesos	NOUN	23	obj
26	nacionales	ADJ	25	amod
27	"	PUNCT	5	punct
28	,	PUNCT	5	punct
29	opinó	VERB	0	root
30	Rangel	PROPN	29	nsubj
31	.	PUNCT	29	punct