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:
Egibar participó hoy en San Sebastián en la reunión que anualmente celebra la Asamblea Regional de su partido en Guipúzcoa, para hacer balance de la actividad de sus organismos internos y cargos públicos.
Postion	Tokenization
1	Egibar
2	participó
3	hoy
4	en
5	San
6	Sebastián
7	en
8	la
9	reunión
10	que
11	anualmente
12	celebra
13	la
14	Asamblea
15	Regional
16	de
17	su
18	partido
19	en
20	Guipúzcoa
21	,
22	para
23	hacer
24	balance
25	de
26	la
27	actividad
28	de
29	sus
30	organismos
31	internos
32	y
33	cargos
34	públicos
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Egibar	PROPN	2	nsubj
2	participó	VERB	0	root
3	hoy	ADV	2	advmod
4	en	ADP	5	case
5	San	PROPN	2	obl
6	Sebastián	PROPN	5	flat
7	en	ADP	9	case
8	la	DET	9	det
9	reunión	NOUN	2	obj
10	que	PRON	12	obj
11	anualmente	ADV	12	advmod
12	celebra	VERB	9	acl
13	la	DET	14	det
14	Asamblea	PROPN	12	nsubj
15	Regional	PROPN	14	flat
16	de	ADP	18	case
17	su	DET	18	det
18	partido	NOUN	14	nmod
19	en	ADP	20	case
20	Guipúzcoa	PROPN	12	obl
21	,	PUNCT	23	punct
22	para	ADP	23	mark
23	hacer	VERB	12	advcl
24	balance	NOUN	23	obj
25	de	ADP	27	case
26	la	DET	27	det
27	actividad	NOUN	24	nmod
28	de	ADP	30	case
29	sus	DET	30	det
30	organismos	NOUN	27	nmod
31	internos	ADJ	30	amod
32	y	CCONJ	33	cc
33	cargos	NOUN	30	conj
34	públicos	ADJ	33	amod
35	.	PUNCT	2	punct