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:
Each of those 10 million have families, friends, neighbors ... and so closer and closer does the We interface with the You.
Postion	Tokenization
1	Each
2	of
3	those
4	10
5	million
6	have
7	families
8	,
9	friends
10	,
11	neighbors
12	...
13	and
14	so
15	closer
16	and
17	closer
18	does
19	the
20	We
21	interface
22	with
23	the
24	You
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Each	DET	6	nsubj
2	of	ADP	5	case
3	those	DET	5	det
4	10	NUM	5	compound
5	million	NUM	1	nmod
6	have	VERB	0	root
7	families	NOUN	6	obj
8	,	PUNCT	9	punct
9	friends	NOUN	7	conj
10	,	PUNCT	11	punct
11	neighbors	NOUN	7	conj
12	...	PUNCT	6	punct
13	and	CCONJ	21	cc
14	so	ADV	21	advmod
15	closer	ADV	21	advmod
16	and	CCONJ	17	cc
17	closer	ADV	15	conj
18	does	AUX	21	aux
19	the	DET	20	det
20	We	NOUN	21	nsubj
21	interface	VERB	6	conj
22	with	ADP	24	case
23	the	DET	24	det
24	You	NOUN	21	obl
25	.	PUNCT	6	punct