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 lehendakari también apeló al sentido de "agente de paz" que debe tener la Universidad en una situación de la sociedad vasca que calificó de "compleja".
Postion	Tokenization
1	El
2	lehendakari
3	también
4	apeló
5	al
6	sentido
7	de
8	"
9	agente
10	de
11	paz
12	"
13	que
14	debe
15	tener
16	la
17	Universidad
18	en
19	una
20	situación
21	de
22	la
23	sociedad
24	vasca
25	que
26	calificó
27	de
28	"
29	compleja
30	"
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	lehendakari	NOUN	4	nsubj
3	también	ADV	4	advmod
4	apeló	VERB	0	root
5	al	ADP	6	case
6	sentido	NOUN	4	obj
7	de	ADP	9	case
8	"	PUNCT	9	punct
9	agente	NOUN	6	nmod
10	de	ADP	11	case
11	paz	NOUN	9	nmod
12	"	PUNCT	9	punct
13	que	PRON	15	obj
14	debe	AUX	15	aux
15	tener	VERB	6	acl
16	la	DET	17	det
17	Universidad	PROPN	15	nsubj
18	en	ADP	20	case
19	una	DET	20	det
20	situación	NOUN	15	obl
21	de	ADP	23	case
22	la	DET	23	det
23	sociedad	NOUN	20	nmod
24	vasca	ADJ	23	amod
25	que	PRON	26	obj
26	calificó	VERB	20	acl
27	de	ADP	29	case
28	"	PUNCT	29	punct
29	compleja	ADJ	26	obj
30	"	PUNCT	29	punct
31	.	PUNCT	4	punct