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 último encuentro de ayer de Insulza, acompañado del embajador de Chile en Madrid, Sergio Pizarro, tuvo lugar en la sede del PSOE con Joaquín Almunia y Josep Borrell.
Postion	Tokenization
1	El
2	último
3	encuentro
4	de
5	ayer
6	de
7	Insulza
8	,
9	acompañado
10	del
11	embajador
12	de
13	Chile
14	en
15	Madrid
16	,
17	Sergio
18	Pizarro
19	,
20	tuvo
21	lugar
22	en
23	la
24	sede
25	del
26	PSOE
27	con
28	Joaquín
29	Almunia
30	y
31	Josep
32	Borrell
33	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	último	ADJ	3	amod
3	encuentro	NOUN	20	nsubj
4	de	ADP	5	case
5	ayer	ADV	3	advmod
6	de	ADP	7	case
7	Insulza	PROPN	3	nmod
8	,	PUNCT	9	punct
9	acompañado	ADJ	3	amod
10	del	ADP	11	case
11	embajador	NOUN	9	obj
12	de	ADP	13	case
13	Chile	PROPN	11	nmod
14	en	ADP	15	case
15	Madrid	PROPN	11	nmod
16	,	PUNCT	17	punct
17	Sergio	PROPN	11	appos
18	Pizarro	PROPN	17	flat
19	,	PUNCT	17	punct
20	tuvo	VERB	0	root
21	lugar	NOUN	20	compound
22	en	ADP	24	case
23	la	DET	24	det
24	sede	NOUN	20	obl
25	del	ADP	26	case
26	PSOE	PROPN	24	nmod
27	con	ADP	28	case
28	Joaquín	PROPN	20	obl
29	Almunia	PROPN	28	flat
30	y	CCONJ	31	cc
31	Josep	PROPN	28	conj
32	Borrell	PROPN	31	flat
33	.	PUNCT	20	punct