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:
Hasta allí llegaban jóvenes de todas las facultades y escuelas universitarias, era donde se congregaba el mayor número de mujeres por metro cuadrado de toda la Complutense.
Postion	Tokenization
1	Hasta
2	allí
3	llegaban
4	jóvenes
5	de
6	todas
7	las
8	facultades
9	y
10	escuelas
11	universitarias
12	,
13	era
14	donde
15	se
16	congregaba
17	el
18	mayor
19	número
20	de
21	mujeres
22	por
23	metro
24	cuadrado
25	de
26	toda
27	la
28	Complutense
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Hasta	ADP	2	case
2	allí	ADV	3	advmod
3	llegaban	VERB	0	root
4	jóvenes	NOUN	3	nsubj
5	de	ADP	8	case
6	todas	DET	7	det
7	las	DET	8	det
8	facultades	NOUN	4	nmod
9	y	CCONJ	10	cc
10	escuelas	NOUN	8	conj
11	universitarias	ADJ	8	amod
12	,	PUNCT	3	punct
13	era	AUX	3	advcl
14	donde	PRON	16	obl
15	se	PRON	16	expl:pv
16	congregaba	VERB	13	ccomp
17	el	DET	19	det
18	mayor	ADJ	19	amod
19	número	NOUN	16	nsubj
20	de	ADP	21	case
21	mujeres	NOUN	19	nmod
22	por	ADP	23	case
23	metro	NOUN	19	nmod
24	cuadrado	ADJ	23	amod
25	de	ADP	28	case
26	toda	DET	27	det
27	la	DET	28	det
28	Complutense	PROPN	19	nmod
29	.	PUNCT	3	punct