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:
De la universidad española dijo llanamente: "Es una institución anacrónica, con espíritu funcionarial y corporativista, atomizada en pequeñas investigaciones, que impide cualquier tipo de investigación".
Postion	Tokenization
1	De
2	la
3	universidad
4	española
5	dijo
6	llanamente
7	:
8	"
9	Es
10	una
11	institución
12	anacrónica
13	,
14	con
15	espíritu
16	funcionarial
17	y
18	corporativista
19	,
20	atomizada
21	en
22	pequeñas
23	investigaciones
24	,
25	que
26	impide
27	cualquier
28	tipo
29	de
30	investigación
31	"
32	.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	3	case
2	la	DET	3	det
3	universidad	NOUN	5	iobj
4	española	ADJ	3	amod
5	dijo	VERB	0	root
6	llanamente	ADV	5	advmod
7	:	PUNCT	11	punct
8	"	PUNCT	11	punct
9	Es	AUX	11	cop
10	una	DET	11	det
11	institución	NOUN	5	ccomp
12	anacrónica	ADJ	11	amod
13	,	PUNCT	12	punct
14	con	ADP	15	case
15	espíritu	NOUN	12	nmod
16	funcionarial	ADJ	15	amod
17	y	CCONJ	18	cc
18	corporativista	ADJ	16	conj
19	,	PUNCT	12	punct
20	atomizada	ADJ	12	advmod
21	en	ADP	23	case
22	pequeñas	ADJ	23	amod
23	investigaciones	NOUN	20	obl
24	,	PUNCT	26	punct
25	que	PRON	26	nsubj
26	impide	VERB	11	acl
27	cualquier	DET	28	det
28	tipo	NOUN	26	obj
29	de	ADP	30	case
30	investigación	NOUN	28	nmod
31	"	PUNCT	11	punct
32	.	PUNCT	5	punct