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:
Ahora las leía de nuevo, para sumarse a la marcha, en la que participaron unas 6.000 personas que celebraban la liberación en abril de 1945 de los supervivientes de este campo.
Postion	Tokenization
1	Ahora
2	las
3	leía
4	de
5	nuevo
6	,
7	para
8	sumarse
9	sumar
10	se
11	a
12	la
13	marcha
14	,
15	en
16	la
17	que
18	participaron
19	unas
20	6.000
21	personas
22	que
23	celebraban
24	la
25	liberación
26	en
27	abril
28	de
29	1945
30	de
31	los
32	supervivientes
33	de
34	este
35	campo
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Ahora	ADV	3	advmod
2	las	PRON	3	obj
3	leía	VERB	0	root
4	de	ADP	3	advmod
5	nuevo	ADJ	4	fixed
6	,	PUNCT	8	punct
7	para	ADP	8	mark
8	sumarse	_	None	_
9	sumar	VERB	3	advcl
10	se	PRON	8	expl:pv
11	a	ADP	12	case
12	la	DET	12	det
13	marcha	NOUN	8	obl
14	,	PUNCT	17	punct
15	en	ADP	16	case
16	la	DET	16	det
17	que	PRON	17	obj
18	participaron	VERB	12	acl
19	unas	PRON	19	nmod
20	6.000	NUM	20	nummod
21	personas	NOUN	17	nsubj
22	que	PRON	22	nsubj
23	celebraban	VERB	20	acl
24	la	DET	24	det
25	liberación	NOUN	22	obj
26	en	ADP	26	case
27	abril	NOUN	24	nmod
28	de	ADP	28	case
29	1945	NUM	26	compound
30	de	ADP	31	case
31	los	DET	31	det
32	supervivientes	NOUN	24	nmod
33	de	ADP	34	case
34	este	DET	34	det
35	campo	NOUN	31	nmod
36	.	PUNCT	3	punct