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:
Como no encontraba plaza para estudiar Periodismo en Dortmund, marchó a Leipzig, la otra ciudad alemana donde se cursa esa clase de estudios.
Postion	Tokenization
1	Como
2	no
3	encontraba
4	plaza
5	para
6	estudiar
7	Periodismo
8	en
9	Dortmund
10	,
11	marchó
12	a
13	Leipzig
14	,
15	la
16	otra
17	ciudad
18	alemana
19	donde
20	se
21	cursa
22	esa
23	clase
24	de
25	estudios
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Como	SCONJ	3	mark
2	no	ADV	3	advmod
3	encontraba	VERB	11	advcl
4	plaza	NOUN	3	obj
5	para	ADP	6	mark
6	estudiar	VERB	4	acl
7	Periodismo	PROPN	6	obj
8	en	ADP	9	case
9	Dortmund	PROPN	6	obl
10	,	PUNCT	3	punct
11	marchó	VERB	0	root
12	a	ADP	13	case
13	Leipzig	PROPN	11	obl
14	,	PUNCT	17	punct
15	la	DET	17	det
16	otra	DET	15	det
17	ciudad	NOUN	13	appos
18	alemana	ADJ	17	amod
19	donde	PRON	21	obl
20	se	PRON	21	expl:pass
21	cursa	VERB	17	acl
22	esa	DET	23	det
23	clase	NOUN	21	nsubj
24	de	ADP	25	case
25	estudios	NOUN	23	nmod
26	.	PUNCT	11	punct