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 la parte superior, a la derecha, una imagen de la concentración celebrada en Hannóver, a la que el canciller Schröder asistió en compañía de los dirigentes sindicales.
Postion	Tokenization
1	En
2	la
3	parte
4	superior
5	,
6	a
7	la
8	derecha
9	,
10	una
11	imagen
12	de
13	la
14	concentración
15	celebrada
16	en
17	Hannóver
18	,
19	a
20	la
21	que
22	el
23	canciller
24	Schröder
25	asistió
26	en
27	compañía
28	de
29	los
30	dirigentes
31	sindicales
32	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	la	DET	3	det
3	parte	NOUN	11	nmod
4	superior	ADJ	3	amod
5	,	PUNCT	8	punct
6	a	ADP	8	case
7	la	DET	8	det
8	derecha	NOUN	3	nmod
9	,	PUNCT	8	punct
10	una	DET	11	det
11	imagen	NOUN	0	root
12	de	ADP	14	case
13	la	DET	14	det
14	concentración	NOUN	11	nmod
15	celebrada	ADJ	14	amod
16	en	ADP	17	case
17	Hannóver	PROPN	15	obl
18	,	PUNCT	25	punct
19	a	ADP	21	case
20	la	DET	21	det
21	que	PRON	25	obl
22	el	DET	23	det
23	canciller	NOUN	25	nsubj
24	Schröder	PROPN	23	appos
25	asistió	VERB	14	acl
26	en	ADP	30	case
27	compañía	NOUN	26	fixed
28	de	ADP	26	fixed
29	los	DET	30	det
30	dirigentes	NOUN	25	obl
31	sindicales	ADJ	30	amod
32	.	PUNCT	11	punct