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:
La secretaria de Estado, Madeleine Albright, almorzó hoy con el jefe de la delegación siria, Faruk Al Chará, en el hotel de la histórica ciudad de Virginia Occidental en el que se celebran las negociaciones.
Postion	Tokenization
1	La
2	secretaria
3	de
4	Estado
5	,
6	Madeleine
7	Albright
8	,
9	almorzó
10	hoy
11	con
12	el
13	jefe
14	de
15	la
16	delegación
17	siria
18	,
19	Faruk
20	Al
21	Chará
22	,
23	en
24	el
25	hotel
26	de
27	la
28	histórica
29	ciudad
30	de
31	Virginia
32	Occidental
33	en
34	el
35	que
36	se
37	celebran
38	las
39	negociaciones
40	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	secretaria	NOUN	9	nsubj
3	de	ADP	4	case
4	Estado	PROPN	2	nmod
5	,	PUNCT	6	punct
6	Madeleine	PROPN	2	appos
7	Albright	PROPN	6	flat
8	,	PUNCT	6	punct
9	almorzó	VERB	0	root
10	hoy	ADV	9	advmod
11	con	ADP	13	case
12	el	DET	13	det
13	jefe	NOUN	9	obl
14	de	ADP	16	case
15	la	DET	16	det
16	delegación	NOUN	13	nmod
17	siria	ADJ	16	amod
18	,	PUNCT	19	punct
19	Faruk	PROPN	13	appos
20	Al	ADP	21	case
21	Chará	PROPN	19	flat
22	,	PUNCT	19	punct
23	en	ADP	25	case
24	el	DET	25	det
25	hotel	NOUN	9	obl
26	de	ADP	29	case
27	la	DET	29	det
28	histórica	ADJ	29	amod
29	ciudad	NOUN	25	nmod
30	de	ADP	31	case
31	Virginia	PROPN	29	nmod
32	Occidental	PROPN	31	flat
33	en	ADP	35	case
34	el	DET	35	det
35	que	PRON	37	obl
36	se	PRON	37	expl:pass
37	celebran	VERB	25	acl
38	las	DET	39	det
39	negociaciones	NOUN	37	nsubj
40	.	PUNCT	9	punct