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 conversaciones entre sirios e israelíes se iniciaron el pasado lunes en Shepherdstown y suponen el primer encuentro a alto nivel entre ambos países desde hace casi cuatro años.
Postion	Tokenization
1	Las
2	conversaciones
3	entre
4	sirios
5	e
6	israelíes
7	se
8	iniciaron
9	el
10	pasado
11	lunes
12	en
13	Shepherdstown
14	y
15	suponen
16	el
17	primer
18	encuentro
19	a
20	alto
21	nivel
22	entre
23	ambos
24	países
25	desde
26	hace
27	casi
28	cuatro
29	años
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	conversaciones	NOUN	8	nsubj
3	entre	ADP	4	case
4	sirios	NOUN	2	nmod
5	e	CCONJ	6	cc
6	israelíes	NOUN	4	conj
7	se	PRON	8	expl:pass
8	iniciaron	VERB	0	root
9	el	DET	11	det
10	pasado	ADJ	11	amod
11	lunes	NOUN	8	obl
12	en	ADP	13	case
13	Shepherdstown	PROPN	8	obl
14	y	CCONJ	15	cc
15	suponen	VERB	8	conj
16	el	DET	18	det
17	primer	ADJ	18	amod
18	encuentro	NOUN	15	obj
19	a	ADP	21	case
20	alto	ADJ	21	amod
21	nivel	NOUN	18	nmod
22	entre	ADP	24	case
23	ambos	NUM	24	nummod
24	países	NOUN	18	nmod
25	desde	ADP	26	mark
26	hace	VERB	18	advcl
27	casi	ADV	29	advmod
28	cuatro	NUM	29	nummod
29	años	NOUN	26	obj
30	.	PUNCT	8	punct