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:
En su encuentro de ayer, los representantes saudíes y yemeníes trataron principalmente sobre la colaboración del sector privado en futuras inversiones conjuntas, "por las amplias oportunidades que ofrece", dijo Ariani.
Postion	Tokenization
1	En
2	su
3	encuentro
4	de
5	ayer
6	,
7	los
8	representantes
9	saudíes
10	y
11	yemeníes
12	trataron
13	principalmente
14	sobre
15	la
16	colaboración
17	del
18	sector
19	privado
20	en
21	futuras
22	inversiones
23	conjuntas
24	,
25	"
26	por
27	las
28	amplias
29	oportunidades
30	que
31	ofrece
32	"
33	,
34	dijo
35	Ariani
36	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	su	DET	3	det
3	encuentro	NOUN	12	obl
4	de	ADP	5	case
5	ayer	ADV	3	advmod
6	,	PUNCT	3	punct
7	los	DET	8	det
8	representantes	NOUN	12	nsubj
9	saudíes	ADJ	8	amod
10	y	CCONJ	11	cc
11	yemeníes	ADJ	9	conj
12	trataron	VERB	34	ccomp
13	principalmente	ADV	12	obj
14	sobre	ADP	13	case
15	la	DET	16	det
16	colaboración	NOUN	13	nmod
17	del	ADP	18	case
18	sector	NOUN	16	nmod
19	privado	ADJ	18	amod
20	en	ADP	22	case
21	futuras	ADJ	22	amod
22	inversiones	NOUN	16	nmod
23	conjuntas	ADJ	22	amod
24	,	PUNCT	29	punct
25	"	PUNCT	29	punct
26	por	ADP	29	case
27	las	DET	29	det
28	amplias	ADJ	29	amod
29	oportunidades	NOUN	12	obl
30	que	PRON	31	obj
31	ofrece	VERB	29	acl
32	"	PUNCT	29	punct
33	,	PUNCT	29	punct
34	dijo	VERB	0	root
35	Ariani	PROPN	34	nsubj
36	.	PUNCT	34	punct